{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/Users/jp34/Desktop/barberpopetables_psrm.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}31 May 2023, 10:38:08

{com}. do "/var/folders/h3/1vcqxtw14zl25ft6h3ywnd9r0000gq/T//SD15420.000000"
{txt}
{com}. use "long_data_ready_for_analysis.dta", clear
{txt}(Written by R.              )

{com}. 
. *support across issues
. bys caseid: gen first_obs = _n == 1
{txt}
{com}. bys Question: tab Support

{txt}{hline}
-> Question = "Minimum Wage"

    Support {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         -1 {c |}{res}        273       26.45       26.45
{txt}          0 {c |}{res}         73        7.07       33.53
{txt}          1 {c |}{res}        686       66.47      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,032      100.00

{txt}{hline}
-> Question = "Tax Increase"

    Support {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         -1 {c |}{res}        231       22.47       22.47
{txt}          0 {c |}{res}         77        7.49       29.96
{txt}          1 {c |}{res}        720       70.04      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,028      100.00

{txt}{hline}
-> Question = "Abortion"

    Support {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         -1 {c |}{res}        181       17.62       17.62
{txt}          0 {c |}{res}        155       15.09       32.72
{txt}          1 {c |}{res}        691       67.28      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,027      100.00

{txt}{hline}
-> Question = "Immigration"

    Support {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         -1 {c |}{res}        389       37.69       37.69
{txt}          0 {c |}{res}        138       13.37       51.07
{txt}          1 {c |}{res}        505       48.93      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,032      100.00

{txt}{hline}
-> Question = "School Guns"

    Support {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         -1 {c |}{res}        359       34.89       34.89
{txt}          0 {c |}{res}         98        9.52       44.41
{txt}          1 {c |}{res}        572       55.59      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,029      100.00

{txt}{hline}
-> Question = "Health Care"

    Support {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         -1 {c |}{res}        331       32.07       32.07
{txt}          0 {c |}{res}        145       14.05       46.12
{txt}          1 {c |}{res}        556       53.88      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,032      100.00

{txt}{hline}
-> Question = "Guns Background"

    Support {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         -1 {c |}{res}        103        9.98        9.98
{txt}          0 {c |}{res}         60        5.81       15.79
{txt}          1 {c |}{res}        869       84.21      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,032      100.00

{txt}{hline}
-> Question = "Climate Change"

    Support {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         -1 {c |}{res}        290       28.29       28.29
{txt}          0 {c |}{res}        126       12.29       40.59
{txt}          1 {c |}{res}        609       59.41      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,025      100.00

{txt}{hline}
-> Question = "Planned Parenthood"

    Support {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         -1 {c |}{res}        402       39.11       39.11
{txt}          0 {c |}{res}         89        8.66       47.76
{txt}          1 {c |}{res}        537       52.24      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,028      100.00

{txt}{hline}
-> Question = "North Korea"

    Support {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         -1 {c |}{res}        407       39.44       39.44
{txt}          0 {c |}{res}        256       24.81       64.24
{txt}          1 {c |}{res}        369       35.76      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,032      100.00

{txt}{hline}
-> Question = "China Tarrif"

    Support {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         -1 {c |}{res}        419       40.72       40.72
{txt}          0 {c |}{res}        231       22.45       63.17
{txt}          1 {c |}{res}        379       36.83      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,029      100.00

{txt}{hline}
-> Question = "Steel Tarrif"

    Support {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         -1 {c |}{res}        371       36.02       36.02
{txt}          0 {c |}{res}        202       19.61       55.63
{txt}          1 {c |}{res}        457       44.37      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,030      100.00

{txt}{hline}
-> Question = "Remove Mueller"

    Support {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         -1 {c |}{res}        278       26.99       26.99
{txt}          0 {c |}{res}        225       21.84       48.83
{txt}          1 {c |}{res}        527       51.17      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,030      100.00

{txt}{hline}
-> Question = "Cut Medicare"

    Support {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         -1 {c |}{res}         83        8.06        8.06
{txt}          0 {c |}{res}         82        7.96       16.02
{txt}          1 {c |}{res}        865       83.98      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,030      100.00

{txt}{hline}
-> Question = "Drug Prices"

    Support {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         -1 {c |}{res}        119       11.55       11.55
{txt}          0 {c |}{res}        114       11.07       22.62
{txt}          1 {c |}{res}        797       77.38      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,030      100.00

{txt}{hline}
-> Question = "Food Stamps"

    Support {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         -1 {c |}{res}        576       55.81       55.81
{txt}          0 {c |}{res}         76        7.36       63.18
{txt}          1 {c |}{res}        380       36.82      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,032      100.00

{txt}{hline}
-> Question = "Oil Drilling"

    Support {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         -1 {c |}{res}        425       41.26       41.26
{txt}          0 {c |}{res}        168       16.31       57.57
{txt}          1 {c |}{res}        437       42.43      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,030      100.00

{txt}{hline}
-> Question = "Comey Unfair"

    Support {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         -1 {c |}{res}        451       43.70       43.70
{txt}          0 {c |}{res}        201       19.48       63.18
{txt}          1 {c |}{res}        380       36.82      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,032      100.00

{txt}{hline}
-> Question = "Puerto Rico"

    Support {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         -1 {c |}{res}        217       21.03       21.03
{txt}          0 {c |}{res}        127       12.31       33.33
{txt}          1 {c |}{res}        688       66.67      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,032      100.00

{txt}{hline}
-> Question = "Allow Torture"

    Support {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         -1 {c |}{res}        337       32.69       32.69
{txt}          0 {c |}{res}        155       15.03       47.72
{txt}          1 {c |}{res}        539       52.28      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,031      100.00

{txt}{hline}
-> Question = "Support DACA"

    Support {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         -1 {c |}{res}        372       36.05       36.05
{txt}          0 {c |}{res}        156       15.12       51.16
{txt}          1 {c |}{res}        504       48.84      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,032      100.00

{txt}
{com}. 
. *average salience2
. bys caseid: egen salience_ave = mean(issue_salience)
{txt}
{com}. bys caseid: gen salience_demean = issue_salience - salience_ave
{txt}(1,795 missing values generated)

{com}. 
. *importance across issues (proprtion of variance)
. bys Question: tab issue_salience

{txt}{hline}
-> Question = "Minimum Wage"

issue_salie {c |}
        nce {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         50        3.09        3.09
{txt}          2 {c |}{res}        118        7.28       10.37
{txt}          3 {c |}{res}        253       15.62       25.99
{txt}          4 {c |}{res}        523       32.28       58.27
{txt}          5 {c |}{res}        676       41.73      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,620      100.00

{txt}{hline}
-> Question = "Tax Increase"

issue_salie {c |}
        nce {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         11        0.68        0.68
{txt}          2 {c |}{res}         37        2.29        2.96
{txt}          3 {c |}{res}        190       11.74       14.70
{txt}          4 {c |}{res}        521       32.18       46.88
{txt}          5 {c |}{res}        860       53.12      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,619      100.00

{txt}{hline}
-> Question = "Abortion"

issue_salie {c |}
        nce {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         41        2.53        2.53
{txt}          2 {c |}{res}         64        3.95        6.49
{txt}          3 {c |}{res}        235       14.52       21.00
{txt}          4 {c |}{res}        496       30.64       51.64
{txt}          5 {c |}{res}        783       48.36      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,619      100.00

{txt}{hline}
-> Question = "Immigration"

issue_salie {c |}
        nce {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         18        1.11        1.11
{txt}          2 {c |}{res}         65        4.02        5.13
{txt}          3 {c |}{res}        174       10.76       15.89
{txt}          4 {c |}{res}        506       31.29       47.19
{txt}          5 {c |}{res}        854       52.81      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,617      100.00

{txt}{hline}
-> Question = "School Guns"

issue_salie {c |}
        nce {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         19        1.18        1.18
{txt}          2 {c |}{res}         32        1.98        3.15
{txt}          3 {c |}{res}        134        8.29       11.44
{txt}          4 {c |}{res}        430       26.59       38.03
{txt}          5 {c |}{res}      1,002       61.97      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,617      100.00

{txt}{hline}
-> Question = "Health Care"

issue_salie {c |}
        nce {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         11        0.68        0.68
{txt}          2 {c |}{res}         23        1.42        2.10
{txt}          3 {c |}{res}         97        5.99        8.09
{txt}          4 {c |}{res}        389       24.01       32.10
{txt}          5 {c |}{res}      1,100       67.90      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,620      100.00

{txt}{hline}
-> Question = "Guns Background"

issue_salie {c |}
        nce {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         19        1.18        1.18
{txt}          2 {c |}{res}         32        1.98        3.15
{txt}          3 {c |}{res}        134        8.29       11.44
{txt}          4 {c |}{res}        430       26.59       38.03
{txt}          5 {c |}{res}      1,002       61.97      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,617      100.00

{txt}{hline}
-> Question = "Climate Change"

issue_salie {c |}
        nce {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         32        1.98        1.98
{txt}          2 {c |}{res}         90        5.56        7.53
{txt}          3 {c |}{res}        213       13.15       20.68
{txt}          4 {c |}{res}        480       29.63       50.31
{txt}          5 {c |}{res}        805       49.69      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,620      100.00

{txt}{hline}
-> Question = "Planned Parenthood"

issue_salie {c |}
        nce {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         26        1.60        1.60
{txt}          2 {c |}{res}         58        3.58        5.19
{txt}          3 {c |}{res}        205       12.65       17.84
{txt}          4 {c |}{res}        417       25.74       43.58
{txt}          5 {c |}{res}        914       56.42      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,620      100.00

{txt}{hline}
-> Question = "North Korea"

issue_salie {c |}
        nce {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         59        3.64        3.64
{txt}          2 {c |}{res}        131        8.08       11.72
{txt}          3 {c |}{res}        299       18.45       30.17
{txt}          4 {c |}{res}        632       38.99       69.15
{txt}          5 {c |}{res}        500       30.85      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,621      100.00

{txt}{hline}
-> Question = "China Tarrif"

issue_salie {c |}
        nce {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         26        1.61        1.61
{txt}          2 {c |}{res}         73        4.52        6.13
{txt}          3 {c |}{res}        329       20.36       26.49
{txt}          4 {c |}{res}        747       46.23       72.71
{txt}          5 {c |}{res}        441       27.29      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,616      100.00

{txt}{hline}
-> Question = "Steel Tarrif"

issue_salie {c |}
        nce {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         26        1.61        1.61
{txt}          2 {c |}{res}         73        4.52        6.13
{txt}          3 {c |}{res}        329       20.36       26.49
{txt}          4 {c |}{res}        747       46.23       72.71
{txt}          5 {c |}{res}        441       27.29      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,616      100.00

{txt}{hline}
-> Question = "Remove Mueller"

issue_salie {c |}
        nce {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}        187       11.56       11.56
{txt}          2 {c |}{res}        199       12.31       23.87
{txt}          3 {c |}{res}        282       17.44       41.31
{txt}          4 {c |}{res}        345       21.34       62.65
{txt}          5 {c |}{res}        604       37.35      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,617      100.00

{txt}{hline}
-> Question = "Cut Medicare"

issue_salie {c |}
        nce {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         16        0.99        0.99
{txt}          2 {c |}{res}         39        2.41        3.40
{txt}          3 {c |}{res}        167       10.32       13.71
{txt}          4 {c |}{res}        444       27.42       41.14
{txt}          5 {c |}{res}        953       58.86      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,619      100.00

{txt}{hline}
-> Question = "Drug Prices"

issue_salie {c |}
        nce {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         19        1.17        1.17
{txt}          2 {c |}{res}         48        2.96        4.13
{txt}          3 {c |}{res}        181       11.17       15.30
{txt}          4 {c |}{res}        446       27.51       42.81
{txt}          5 {c |}{res}        927       57.19      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,621      100.00

{txt}{hline}
-> Question = "Food Stamps"

issue_salie {c |}
        nce {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         28        1.73        1.73
{txt}          2 {c |}{res}         80        4.94        6.67
{txt}          3 {c |}{res}        215       13.28       19.95
{txt}          4 {c |}{res}        558       34.47       54.42
{txt}          5 {c |}{res}        738       45.58      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,619      100.00

{txt}{hline}
-> Question = "Oil Drilling"

issue_salie {c |}
        nce {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         32        1.98        1.98
{txt}          2 {c |}{res}         90        5.56        7.53
{txt}          3 {c |}{res}        213       13.15       20.68
{txt}          4 {c |}{res}        480       29.63       50.31
{txt}          5 {c |}{res}        805       49.69      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,620      100.00

{txt}{hline}
-> Question = "Comey Unfair"

issue_salie {c |}
        nce {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}        187       11.56       11.56
{txt}          2 {c |}{res}        199       12.31       23.87
{txt}          3 {c |}{res}        282       17.44       41.31
{txt}          4 {c |}{res}        345       21.34       62.65
{txt}          5 {c |}{res}        604       37.35      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,617      100.00

{txt}{hline}
-> Question = "Puerto Rico"

issue_salie {c |}
        nce {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         77        4.75        4.75
{txt}          2 {c |}{res}        137        8.46       13.21
{txt}          3 {c |}{res}        358       22.10       35.31
{txt}          4 {c |}{res}        537       33.15       68.46
{txt}          5 {c |}{res}        511       31.54      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,620      100.00

{txt}{hline}
-> Question = "Allow Torture"
no observations

{hline}
-> Question = "Support DACA"

issue_salie {c |}
        nce {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         18        1.11        1.11
{txt}          2 {c |}{res}         65        4.02        5.13
{txt}          3 {c |}{res}        174       10.76       15.89
{txt}          4 {c |}{res}        506       31.29       47.19
{txt}          5 {c |}{res}        854       52.81      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,617      100.00

{txt}
{com}. xtset caseid 

{txt}{col 1}Panel variable: {res}caseid{txt} (balanced)

{com}. xtsum issue_salience if inlist(condition, 1, 2, 3)

{txt}Variable         {c |}      Mean   Std. dev.       Min        Max {c |}    Observations
{hline 17}{c +}{hline 44}{c +}{hline 16}
issue_~e{col 10}overall {c |} {res} 4.192323   .9881492          1          5{txt} {c |}{col 69}N =   20554
{col 10}between {c |}{col 31}{res} .5432828          2          5{txt} {c |}{col 69}n =    1033
{col 10}within  {c |}{col 31}{res} .8255354   .3923227   7.192323{txt} {c |} T-bar = 19.8974

{com}. display .8255354^2 / (.8255354^2 + .5432828^2)
{res}.69779174
{txt}
{com}. 
. 
. 
. *TABLE A1
. gen independent = pid7 == 4
{txt}
{com}. gen included = issue_salience != . & Support != .
{txt}
{com}. 
. ttest issue_salience if (self == 1 | libtrump == 1) & included == 1, by(libtrump)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  6,763{col 22} 4.205826{col 34} .0120674{col 46} .9923912{col 58}  4.18217{col 70} 4.229482
       {txt}1 {c |}{res}{col 12}  6,814{col 22} 4.175521{col 34} .0120457{col 46} .9943387{col 58} 4.151908{col 70} 4.199134
{txt}{hline 9}{c +}{hline 68}
Combined {c |}{res}{col 12} 13,577{col 22} 4.190616{col 34}  .008526{col 46} .9934481{col 58} 4.173904{col 70} 4.207329
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0303048{col 34} .0170507{col 58}-.0031169{col 70} .0637265
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  1.7773
{txt}H0: diff = 0                                     Degrees of freedom = {res}   13575

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9622         {txt}Pr(|T| > |t|) = {res}0.0755          {txt}Pr(T > t) = {res}0.0378
{txt}
{com}. ttest issue_salience if (self == 1 | contrump == 1) & included == 1, by(contrump)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  6,763{col 22} 4.205826{col 34} .0120674{col 46} .9923912{col 58}  4.18217{col 70} 4.229482
       {txt}1 {c |}{res}{col 12}  6,922{col 22} 4.195753{col 34} .0117549{col 46} .9779948{col 58} 4.172709{col 70} 4.218796
{txt}{hline 9}{c +}{hline 68}
Combined {c |}{res}{col 12} 13,685{col 22} 4.200731{col 34}  .008421{col 46} .9851125{col 58} 4.184224{col 70} 4.217237
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0100731{col 34} .0168435{col 58}-.0229425{col 70} .0430888
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.5980
{txt}H0: diff = 0                                     Degrees of freedom = {res}   13683

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.7251         {txt}Pr(|T| > |t|) = {res}0.5498          {txt}Pr(T > t) = {res}0.2749
{txt}
{com}. 
. ttest race_white if (self == 1 | libtrump == 1) & included == 1, by(libtrump)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  6,763{col 22} .7598699{col 34} .0051946{col 46} .4271939{col 58} .7496868{col 70}  .770053
       {txt}1 {c |}{res}{col 12}  6,814{col 22} .7621074{col 34} .0051586{col 46} .4258243{col 58}  .751995{col 70} .7722198
{txt}{hline 9}{c +}{hline 68}
Combined {c |}{res}{col 12} 13,577{col 22} .7609929{col 34} .0036602{col 46} .4264928{col 58} .7538183{col 70} .7681674
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0022375{col 34} .0073208{col 58}-.0165873{col 70} .0121122
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.3056
{txt}H0: diff = 0                                     Degrees of freedom = {res}   13575

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.3799         {txt}Pr(|T| > |t|) = {res}0.7599          {txt}Pr(T > t) = {res}0.6201
{txt}
{com}. ttest race_white if (self == 1 | contrump == 1) & included == 1, by(contrump)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  6,763{col 22} .7598699{col 34} .0051946{col 46} .4271939{col 58} .7496868{col 70}  .770053
       {txt}1 {c |}{res}{col 12}  6,922{col 22} .7611962{col 34} .0051249{col 46} .4263834{col 58} .7511498{col 70} .7712425
{txt}{hline 9}{c +}{hline 68}
Combined {c |}{res}{col 12} 13,685{col 22} .7605407{col 34} .0036481{col 46} .4267691{col 58} .7533899{col 70} .7676916
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0013263{col 34}  .007297{col 58}-.0156295{col 70} .0129768
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.1818
{txt}H0: diff = 0                                     Degrees of freedom = {res}   13683

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.4279         {txt}Pr(|T| > |t|) = {res}0.8558          {txt}Pr(T > t) = {res}0.5721
{txt}
{com}. 
. ttest male if (self == 1 | libtrump == 1) & included == 1, by(libtrump)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  6,763{col 22}  .481591{col 34} .0060763{col 46} .4996979{col 58} .4696796{col 70} .4935024
       {txt}1 {c |}{res}{col 12}  6,814{col 22} .4834165{col 34} .0060543{col 46} .4997616{col 58} .4715482{col 70} .4952848
{txt}{hline 9}{c +}{hline 68}
Combined {c |}{res}{col 12} 13,577{col 22} .4825072{col 34} .0042886{col 46} .4997123{col 58} .4741009{col 70} .4909135
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0018255{col 34} .0085776{col 58}-.0186388{col 70} .0149878
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.2128
{txt}H0: diff = 0                                     Degrees of freedom = {res}   13575

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.4157         {txt}Pr(|T| > |t|) = {res}0.8315          {txt}Pr(T > t) = {res}0.5843
{txt}
{com}. ttest male if (self == 1 | contrump == 1) & included == 1, by(contrump)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  6,763{col 22}  .481591{col 34} .0060763{col 46} .4996979{col 58} .4696796{col 70} .4935024
       {txt}1 {c |}{res}{col 12}  6,922{col 22} .4841086{col 34} .0060071{col 46} .4997835{col 58} .4723328{col 70} .4958844
{txt}{hline 9}{c +}{hline 68}
Combined {c |}{res}{col 12} 13,685{col 22} .4828645{col 34} .0042718{col 46} .4997245{col 58} .4744912{col 70} .4912377
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0025176{col 34} .0085444{col 58}-.0192658{col 70} .0142306
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.2947
{txt}H0: diff = 0                                     Degrees of freedom = {res}   13683

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.3841         {txt}Pr(|T| > |t|) = {res}0.7683          {txt}Pr(T > t) = {res}0.6159
{txt}
{com}. 
. ttest knowledge if (self == 1 | libtrump == 1) & included == 1, by(libtrump)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  6,763{col 22} 5.856573{col 34} .0289648{col 46} 2.381994{col 58} 5.799792{col 70} 5.913353
       {txt}1 {c |}{res}{col 12}  6,814{col 22}  5.82624{col 34} .0291932{col 46} 2.409808{col 58} 5.769012{col 70} 5.883468
{txt}{hline 9}{c +}{hline 68}
Combined {c |}{res}{col 12} 13,577{col 22} 5.841349{col 34} .0205625{col 46} 2.395953{col 58} 5.801044{col 70} 5.881655
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0303324{col 34}  .041126{col 58}-.0502803{col 70} .1109452
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.7375
{txt}H0: diff = 0                                     Degrees of freedom = {res}   13575

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.7696         {txt}Pr(|T| > |t|) = {res}0.4608          {txt}Pr(T > t) = {res}0.2304
{txt}
{com}. ttest knowledge if (self == 1 | contrump == 1) & included == 1, by(contrump)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  6,763{col 22} 5.856573{col 34} .0289648{col 46} 2.381994{col 58} 5.799792{col 70} 5.913353
       {txt}1 {c |}{res}{col 12}  6,922{col 22} 5.873591{col 34} .0285811{col 46} 2.377907{col 58} 5.817564{col 70} 5.929619
{txt}{hline 9}{c +}{hline 68}
Combined {c |}{res}{col 12} 13,685{col 22} 5.865181{col 34} .0203436{col 46} 2.379856{col 58} 5.825305{col 70} 5.905057
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0170189{col 34} .0406912{col 58}-.0967793{col 70} .0627414
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.4182
{txt}H0: diff = 0                                     Degrees of freedom = {res}   13683

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.3379         {txt}Pr(|T| > |t|) = {res}0.6758          {txt}Pr(T > t) = {res}0.6621
{txt}
{com}. 
. ttest trump_favor if (self == 1 | libtrump == 1) & included == 1, by(libtrump)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  6,635{col 22} 2.203316{col 34} .0157989{col 46} 1.286905{col 58} 2.172345{col 70} 2.234287
       {txt}1 {c |}{res}{col 12}  6,689{col 22} 2.239647{col 34} .0158727{col 46} 1.298166{col 58} 2.208532{col 70} 2.270763
{txt}{hline 9}{c +}{hline 68}
Combined {c |}{res}{col 12} 13,324{col 22} 2.221555{col 34} .0111986{col 46} 1.292649{col 58} 2.199604{col 70} 2.243506
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0363314{col 34}  .022396{col 58}-.0802308{col 70} .0075679
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -1.6222
{txt}H0: diff = 0                                     Degrees of freedom = {res}   13322

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0524         {txt}Pr(|T| > |t|) = {res}0.1048          {txt}Pr(T > t) = {res}0.9476
{txt}
{com}. ttest trump_favor if (self == 1 | contrump == 1) & included == 1, by(contrump)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  6,635{col 22} 2.203316{col 34} .0157989{col 46} 1.286905{col 58} 2.172345{col 70} 2.234287
       {txt}1 {c |}{res}{col 12}  6,778{col 22} 2.209354{col 34} .0156511{col 46} 1.288531{col 58} 2.178673{col 70} 2.240035
{txt}{hline 9}{c +}{hline 68}
Combined {c |}{res}{col 12} 13,413{col 22} 2.206367{col 34} .0111185{col 46} 1.287682{col 58} 2.184573{col 70} 2.228161
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} -.006038{col 34}  .022239{col 58}-.0496296{col 70} .0375535
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.2715
{txt}H0: diff = 0                                     Degrees of freedom = {res}   13411

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.3930         {txt}Pr(|T| > |t|) = {res}0.7860          {txt}Pr(T > t) = {res}0.6070
{txt}
{com}. 
. ttest ideo5b if (self == 1 | libtrump == 1) & included == 1, by(libtrump)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  6,404{col 22} 3.032792{col 34} .0153766{col 46} 1.230509{col 58} 3.002649{col 70} 3.062935
       {txt}1 {c |}{res}{col 12}  6,465{col 22} 3.070534{col 34}  .015188{col 46} 1.221193{col 58}  3.04076{col 70} 3.100307
{txt}{hline 9}{c +}{hline 68}
Combined {c |}{res}{col 12} 12,869{col 22} 3.051752{col 34} .0108067{col 46} 1.225935{col 58} 3.030569{col 70} 3.072935
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0377416{col 34}  .021612{col 58}-.0801044{col 70} .0046211
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -1.7463
{txt}H0: diff = 0                                     Degrees of freedom = {res}   12867

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0404         {txt}Pr(|T| > |t|) = {res}0.0808          {txt}Pr(T > t) = {res}0.9596
{txt}
{com}. ttest ideo5b if (self == 1 | contrump == 1) & included == 1, by(contrump)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  6,404{col 22} 3.032792{col 34} .0153766{col 46} 1.230509{col 58} 3.002649{col 70} 3.062935
       {txt}1 {c |}{res}{col 12}  6,553{col 22} 3.059667{col 34} .0148715{col 46}  1.20386{col 58} 3.030514{col 70}  3.08882
{txt}{hline 9}{c +}{hline 68}
Combined {c |}{res}{col 12} 12,957{col 22} 3.046384{col 34} .0106926{col 46} 1.217131{col 58} 3.025425{col 70} 3.067343
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0268753{col 34} .0213862{col 58}-.0687955{col 70} .0150448
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -1.2567
{txt}H0: diff = 0                                     Degrees of freedom = {res}   12955

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.1044         {txt}Pr(|T| > |t|) = {res}0.2089          {txt}Pr(T > t) = {res}0.8956
{txt}
{com}. 
. ttest party_strength if (self == 1 | libtrump == 1) & included == 1, by(libtrump)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  6,619{col 22} 2.922647{col 34} .0134975{col 46} 1.098118{col 58} 2.896188{col 70} 2.949106
       {txt}1 {c |}{res}{col 12}  6,663{col 22}  2.96308{col 34} .0133008{col 46} 1.085708{col 58} 2.937006{col 70} 2.989154
{txt}{hline 9}{c +}{hline 68}
Combined {c |}{res}{col 12} 13,282{col 22}  2.94293{col 34} .0094757{col 46} 1.092056{col 58} 2.924356{col 70} 2.961504
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0404328{col 34} .0189491{col 58}-.0775756{col 70}-.0032899
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -2.1338
{txt}H0: diff = 0                                     Degrees of freedom = {res}   13280

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0164         {txt}Pr(|T| > |t|) = {res}0.0329          {txt}Pr(T > t) = {res}0.9836
{txt}
{com}. ttest party_strength if (self == 1 | contrump == 1) & included == 1, by(contrump)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  6,619{col 22} 2.922647{col 34} .0134975{col 46} 1.098118{col 58} 2.896188{col 70} 2.949106
       {txt}1 {c |}{res}{col 12}  6,781{col 22} 2.925822{col 34} .0133646{col 46} 1.100529{col 58} 2.899623{col 70} 2.952021
{txt}{hline 9}{c +}{hline 68}
Combined {c |}{res}{col 12} 13,400{col 22} 2.924254{col 34} .0094965{col 46} 1.099298{col 58} 2.905639{col 70} 2.942868
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0031752{col 34} .0189951{col 58}-.0404082{col 70} .0340578
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.1672
{txt}H0: diff = 0                                     Degrees of freedom = {res}   13398

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.4336         {txt}Pr(|T| > |t|) = {res}0.8672          {txt}Pr(T > t) = {res}0.5664
{txt}
{com}. 
. ttest income if (self == 1 | libtrump == 1) & included == 1, by(libtrump)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  5,981{col 22}  6.66962{col 34} .0430582{col 46} 3.329989{col 58} 6.585211{col 70}  6.75403
       {txt}1 {c |}{res}{col 12}  5,981{col 22} 6.654907{col 34} .0425975{col 46} 3.294358{col 58} 6.571401{col 70} 6.738414
{txt}{hline 9}{c +}{hline 68}
Combined {c |}{res}{col 12} 11,962{col 22} 6.662264{col 34} .0302831{col 46} 3.312091{col 58} 6.602904{col 70} 6.721624
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0147133{col 34} .0605686{col 58} -.104011{col 70} .1334375
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.2429
{txt}H0: diff = 0                                     Degrees of freedom = {res}   11960

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.5960         {txt}Pr(|T| > |t|) = {res}0.8081          {txt}Pr(T > t) = {res}0.4040
{txt}
{com}. ttest income if (self == 1 | contrump == 1) & included == 1, by(contrump)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  5,981{col 22}  6.66962{col 34} .0430582{col 46} 3.329989{col 58} 6.585211{col 70}  6.75403
       {txt}1 {c |}{res}{col 12}  6,077{col 22} 6.664802{col 34}  .042258{col 46} 3.294224{col 58} 6.581961{col 70} 6.747642
{txt}{hline 9}{c +}{hline 68}
Combined {c |}{res}{col 12} 12,058{col 22} 6.667192{col 34} .0301603{col 46} 3.311876{col 58} 6.608073{col 70} 6.726311
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0048188{col 34} .0603251{col 58}-.1134281{col 70} .1230656
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.0799
{txt}H0: diff = 0                                     Degrees of freedom = {res}   12056

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.5318         {txt}Pr(|T| > |t|) = {res}0.9363          {txt}Pr(T > t) = {res}0.4682
{txt}
{com}. 
. ttest educ if (self == 1 | libtrump == 1) & included == 1, by(libtrump)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  6,763{col 22} 3.937454{col 34} .0178178{col 46} 1.465291{col 58} 3.902525{col 70} 3.972382
       {txt}1 {c |}{res}{col 12}  6,814{col 22} 3.936014{col 34} .0179477{col 46} 1.481532{col 58} 3.900831{col 70} 3.971197
{txt}{hline 9}{c +}{hline 68}
Combined {c |}{res}{col 12} 13,577{col 22} 3.936731{col 34} .0126451{col 46}  1.47341{col 58} 3.911945{col 70} 3.961517
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0014397{col 34} .0252913{col 58}-.0481347{col 70} .0510141
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.0569
{txt}H0: diff = 0                                     Degrees of freedom = {res}   13575

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.5227         {txt}Pr(|T| > |t|) = {res}0.9546          {txt}Pr(T > t) = {res}0.4773
{txt}
{com}. ttest educ if (self == 1 | contrump == 1) & included == 1, by(contrump)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  6,763{col 22} 3.937454{col 34} .0178178{col 46} 1.465291{col 58} 3.902525{col 70} 3.972382
       {txt}1 {c |}{res}{col 12}  6,922{col 22} 3.938457{col 34} .0177524{col 46} 1.476972{col 58} 3.903657{col 70} 3.973257
{txt}{hline 9}{c +}{hline 68}
Combined {c |}{res}{col 12} 13,685{col 22} 3.937961{col 34} .0125758{col 46} 1.471157{col 58} 3.913311{col 70} 3.962612
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0010033{col 34} .0251543{col 58}-.0503091{col 70} .0483025
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.0399
{txt}H0: diff = 0                                     Degrees of freedom = {res}   13683

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.4841         {txt}Pr(|T| > |t|) = {res}0.9682          {txt}Pr(T > t) = {res}0.5159
{txt}
{com}. 
. ttest newsint if (self == 1 | libtrump == 1) & included == 1 & newsint != 5, by(libtrump)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  6,648{col 22} 1.628309{col 34} .0107352{col 46} .8752959{col 58} 1.607265{col 70} 1.649354
       {txt}1 {c |}{res}{col 12}  6,709{col 22} 1.625727{col 34} .0105628{col 46} .8651815{col 58}  1.60502{col 70} 1.646433
{txt}{hline 9}{c +}{hline 68}
Combined {c |}{res}{col 12} 13,357{col 22} 1.627012{col 34} .0075295{col 46} .8701987{col 58} 1.612253{col 70} 1.641771
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0025826{col 34} .0150596{col 58}-.0269364{col 70} .0321016
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.1715
{txt}H0: diff = 0                                     Degrees of freedom = {res}   13355

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.5681         {txt}Pr(|T| > |t|) = {res}0.8638          {txt}Pr(T > t) = {res}0.4319
{txt}
{com}. ttest newsint if (self == 1 | contrump == 1) & included == 1 & newsint != 5, by(contrump)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  6,648{col 22} 1.628309{col 34} .0107352{col 46} .8752959{col 58} 1.607265{col 70} 1.649354
       {txt}1 {c |}{res}{col 12}  6,804{col 22} 1.616843{col 34} .0104927{col 46} .8655041{col 58} 1.596274{col 70} 1.637412
{txt}{hline 9}{c +}{hline 68}
Combined {c |}{res}{col 12} 13,452{col 22}  1.62251{col 34} .0075041{col 46} .8703435{col 58} 1.607801{col 70} 1.637219
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0114662{col 34} .0150094{col 58}-.0179543{col 70} .0408868
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.7639
{txt}H0: diff = 0                                     Degrees of freedom = {res}   13450

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.7775         {txt}Pr(|T| > |t|) = {res}0.4449          {txt}Pr(T > t) = {res}0.2225
{txt}
{com}. 
. ttest republican if (self == 1 | libtrump == 1) & included == 1, by(libtrump)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  6,763{col 22} .3708413{col 34}  .005874{col 46} .4830658{col 58} .3593264{col 70} .3823563
       {txt}1 {c |}{res}{col 12}  6,814{col 22} .3859701{col 34}  .005898{col 46} .4868593{col 58} .3744082{col 70} .3975319
{txt}{hline 9}{c +}{hline 68}
Combined {c |}{res}{col 12} 13,577{col 22} .3784341{col 34} .0041625{col 46} .4850145{col 58} .3702751{col 70} .3865932
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0151287{col 34} .0083243{col 58}-.0314456{col 70} .0011881
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -1.8174
{txt}H0: diff = 0                                     Degrees of freedom = {res}   13575

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0346         {txt}Pr(|T| > |t|) = {res}0.0692          {txt}Pr(T > t) = {res}0.9654
{txt}
{com}. ttest republican if (self == 1 | contrump == 1) & included == 1, by(contrump)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  6,763{col 22} .3708413{col 34}  .005874{col 46} .4830658{col 58} .3593264{col 70} .3823563
       {txt}1 {c |}{res}{col 12}  6,922{col 22}  .373447{col 34} .0058145{col 46} .4837542{col 58} .3620489{col 70} .3848451
{txt}{hline 9}{c +}{hline 68}
Combined {c |}{res}{col 12} 13,685{col 22} .3721593{col 34} .0041322{col 46} .4833982{col 58} .3640596{col 70}  .380259
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0026056{col 34} .0082653{col 58}-.0188067{col 70} .0135954
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.3153
{txt}H0: diff = 0                                     Degrees of freedom = {res}   13683

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.3763         {txt}Pr(|T| > |t|) = {res}0.7526          {txt}Pr(T > t) = {res}0.6237
{txt}
{com}. 
. ttest democrat if (self == 1 | libtrump == 1) & included == 1, by(libtrump)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  6,763{col 22} .4669525{col 34} .0060671{col 46} .4989436{col 58} .4550591{col 70}  .478846
       {txt}1 {c |}{res}{col 12}  6,814{col 22} .4637511{col 34} .0060417{col 46} .4987209{col 58} .4519076{col 70} .4755946
{txt}{hline 9}{c +}{hline 68}
Combined {c |}{res}{col 12} 13,577{col 22} .4653458{col 34} .0042809{col 46}  .498816{col 58} .4569546{col 70}  .473737
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0032014{col 34} .0085622{col 58}-.0135817{col 70} .0199845
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.3739
{txt}H0: diff = 0                                     Degrees of freedom = {res}   13575

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.6458         {txt}Pr(|T| > |t|) = {res}0.7085          {txt}Pr(T > t) = {res}0.3542
{txt}
{com}. ttest democrat if (self == 1 | contrump == 1) & included == 1, by(contrump)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  6,763{col 22} .4669525{col 34} .0060671{col 46} .4989436{col 58} .4550591{col 70}  .478846
       {txt}1 {c |}{res}{col 12}  6,922{col 22} .4651835{col 34} .0059956{col 46} .4988224{col 58} .4534303{col 70} .4769366
{txt}{hline 9}{c +}{hline 68}
Combined {c |}{res}{col 12} 13,685{col 22} .4660577{col 34} .0042644{col 46} .4988648{col 58} .4576989{col 70} .4744166
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0017691{col 34} .0085297{col 58}-.0149504{col 70} .0184885
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.2074
{txt}H0: diff = 0                                     Degrees of freedom = {res}   13683

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.5821         {txt}Pr(|T| > |t|) = {res}0.8357          {txt}Pr(T > t) = {res}0.4179
{txt}
{com}. 
. ttest independent if (self == 1 | libtrump == 1) & included == 1, by(libtrump)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  6,763{col 22} .1409138{col 34} .0042311{col 46} .3479583{col 58} .1326194{col 70} .1492082
       {txt}1 {c |}{res}{col 12}  6,814{col 22} .1281186{col 34} .0040492{col 46} .3342463{col 58} .1201809{col 70} .1360562
{txt}{hline 9}{c +}{hline 68}
Combined {c |}{res}{col 12} 13,577{col 22} .1344922{col 34} .0029282{col 46} .3411929{col 58} .1287525{col 70} .1402318
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0127952{col 34} .0058556{col 58} .0013174{col 70}  .024273
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  2.1851
{txt}H0: diff = 0                                     Degrees of freedom = {res}   13575

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9856         {txt}Pr(|T| > |t|) = {res}0.0289          {txt}Pr(T > t) = {res}0.0144
{txt}
{com}. ttest independent if (self == 1 | contrump == 1) & included == 1, by(contrump)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  6,763{col 22} .1409138{col 34} .0042311{col 46} .3479583{col 58} .1326194{col 70} .1492082
       {txt}1 {c |}{res}{col 12}  6,922{col 22} .1409997{col 34} .0041833{col 46} .3480464{col 58} .1327991{col 70} .1492003
{txt}{hline 9}{c +}{hline 68}
Combined {c |}{res}{col 12} 13,685{col 22} .1409573{col 34} .0029747{col 46} .3479902{col 58} .1351264{col 70} .1467881
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0000859{col 34}   .00595{col 58}-.0117488{col 70}  .011577
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.0144
{txt}H0: diff = 0                                     Degrees of freedom = {res}   13683

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.4942         {txt}Pr(|T| > |t|) = {res}0.9885          {txt}Pr(T > t) = {res}0.5058
{txt}
{com}. 
. ttest age if (self == 1 | libtrump == 1) & included == 1, by(libtrump)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  6,763{col 22} 53.50421{col 34} .2012057{col 46} 16.54665{col 58} 53.10979{col 70} 53.89864
       {txt}1 {c |}{res}{col 12}  6,814{col 22} 53.76137{col 34} .2009917{col 46} 16.59125{col 58} 53.36737{col 70} 54.15538
{txt}{hline 9}{c +}{hline 68}
Combined {c |}{res}{col 12} 13,577{col 22} 53.63328{col 34} .1421978{col 46} 16.56894{col 58} 53.35455{col 70}   53.912
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.2571595{col 34} .2843994{col 58}-.8146219{col 70} .3003028
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.9042
{txt}H0: diff = 0                                     Degrees of freedom = {res}   13575

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.1829         {txt}Pr(|T| > |t|) = {res}0.3659          {txt}Pr(T > t) = {res}0.8171
{txt}
{com}. ttest age if (self == 1 | contrump == 1) & included == 1, by(contrump)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  6,763{col 22} 53.50421{col 34} .2012057{col 46} 16.54665{col 58} 53.10979{col 70} 53.89864
       {txt}1 {c |}{res}{col 12}  6,922{col 22} 53.46287{col 34} .1986579{col 46} 16.52805{col 58} 53.07344{col 70}  53.8523
{txt}{hline 9}{c +}{hline 68}
Combined {c |}{res}{col 12} 13,685{col 22}  53.4833{col 34} .1413596{col 46} 16.53665{col 58} 53.20622{col 70} 53.76039
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0413421{col 34} .2827484{col 58}-.5128835{col 70} .5955677
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.1462
{txt}H0: diff = 0                                     Degrees of freedom = {res}   13683

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.5581         {txt}Pr(|T| > |t|) = {res}0.8838          {txt}Pr(T > t) = {res}0.4419
{txt}
{com}. 
. tab self libtrump if included == 1

           {txt}{c |}       libtrump
      self {c |}         0          1 {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
         0 {c |}{res}     6,922      6,814 {txt}{c |}{res}    13,736 
{txt}         1 {c |}{res}     6,763          0 {txt}{c |}{res}     6,763 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}    13,685      6,814 {txt}{c |}{res}    20,499 
{txt}
{com}. tab self contrump if included == 1

           {txt}{c |}       contrump
      self {c |}         0          1 {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
         0 {c |}{res}     6,814      6,922 {txt}{c |}{res}    13,736 
{txt}         1 {c |}{res}     6,763          0 {txt}{c |}{res}     6,763 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}    13,577      6,922 {txt}{c |}{res}    20,499 
{txt}
{com}. 
. 
. 
. 
. 
. **********************************************
. *TABLE A2: Replication of Results in Barber and Pope (2019)
. regress Support contrump libtrump

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}    21,635
{txt}{hline 13}{c +}{hline 34}   F(2, 21632)     = {res}    55.06
{txt}       Model {c |} {res} 87.6510309         2  43.8255154   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res}  17218.946    21,632  .795994174   {txt}R-squared       ={res}    0.0051
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0050
{txt}       Total {c |} {res}  17306.597    21,634  .799972127   {txt}Root MSE        =   {res} .89219

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     Support{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}contrump {c |}{col 14}{res}{space 2}-.0791051{col 26}{space 2} .0148515{col 37}{space 1}   -5.33{col 46}{space 3}0.000{col 54}{space 4}-.1082151{col 67}{space 3}-.0499951
{txt}{space 4}libtrump {c |}{col 14}{res}{space 2} .0763163{col 26}{space 2} .0149114{col 37}{space 1}    5.12{col 46}{space 3}0.000{col 54}{space 4} .0470888{col 67}{space 3} .1055437
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .2534045{col 26}{space 2} .0105712{col 37}{space 1}   23.97{col 46}{space 3}0.000{col 54}{space 4} .2326842{col 67}{space 3} .2741248
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. *by party 
. regress Support libtrump contrump if republican == 1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     8,167
{txt}{hline 13}{c +}{hline 34}   F(2, 8164)      = {res}   134.61
{txt}       Model {c |} {res} 209.521897         2  104.760948   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 6353.68124     8,164  .778255909   {txt}R-squared       ={res}    0.0319
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0317
{txt}       Total {c |} {res} 6563.20313     8,166  .803723137   {txt}Root MSE        =   {res} .88219

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     Support{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}libtrump {c |}{col 14}{res}{space 2} .2388599{col 26}{space 2} .0239784{col 37}{space 1}    9.96{col 46}{space 3}0.000{col 54}{space 4} .1918561{col 67}{space 3} .2858636
{txt}{space 4}contrump {c |}{col 14}{res}{space 2}-.1472153{col 26}{space 2} .0240189{col 37}{space 1}   -6.13{col 46}{space 3}0.000{col 54}{space 4}-.1942984{col 67}{space 3}-.1001323
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.2760574{col 26}{space 2} .0171436{col 37}{space 1}  -16.10{col 46}{space 3}0.000{col 54}{space 4}-.3096632{col 67}{space 3}-.2424516
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. regress Support libtrump contrump if democrat == 0 & republican == 0

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     3,411
{txt}{hline 13}{c +}{hline 34}   F(2, 3408)      = {res}     6.36
{txt}       Model {c |} {res} 9.68386186         2  4.84193093   {txt}Prob > F        ={res}    0.0017
{txt}    Residual {c |} {res} 2594.30617     3,408  .761240073   {txt}R-squared       ={res}    0.0037
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0031
{txt}       Total {c |} {res} 2603.99003     3,410  .763633441   {txt}Root MSE        =   {res} .87249

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     Support{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}libtrump {c |}{col 14}{res}{space 2} .0255202{col 26}{space 2} .0368559{col 37}{space 1}    0.69{col 46}{space 3}0.489{col 54}{space 4}-.0467417{col 67}{space 3}  .097782
{txt}{space 4}contrump {c |}{col 14}{res}{space 2}-.0977033{col 26}{space 2} .0362529{col 37}{space 1}   -2.70{col 46}{space 3}0.007{col 54}{space 4}-.1687829{col 67}{space 3}-.0266238
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .2167102{col 26}{space 2} .0257395{col 37}{space 1}    8.42{col 46}{space 3}0.000{col 54}{space 4} .1662437{col 67}{space 3} .2671767
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. regress Support libtrump contrump if democrat == 1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}    10,057
{txt}{hline 13}{c +}{hline 34}   F(2, 10054)     = {res}     1.17
{txt}       Model {c |} {res} 1.00140874         2  .500704368   {txt}Prob > F        ={res}    0.3105
{txt}    Residual {c |} {res}  4303.9102    10,054  .428079391   {txt}R-squared       ={res}    0.0002
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0000
{txt}       Total {c |} {res}  4304.9116    10,056  .428093835   {txt}Root MSE        =   {res} .65428

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     Support{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}libtrump {c |}{col 14}{res}{space 2}-.0244454{col 26}{space 2} .0160345{col 37}{space 1}   -1.52{col 46}{space 3}0.127{col 54}{space 4}-.0558762{col 67}{space 3} .0069854
{txt}{space 4}contrump {c |}{col 14}{res}{space 2}-.0105447{col 26}{space 2} .0159601{col 37}{space 1}   -0.66{col 46}{space 3}0.509{col 54}{space 4}-.0418297{col 67}{space 3} .0207402
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .6876127{col 26}{space 2} .0113449{col 37}{space 1}   60.61{col 46}{space 3}0.000{col 54}{space 4} .6653745{col 67}{space 3}  .709851
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. *political knowledge
. regress Support i.contrump##c.knowledge i.libtrump##c.knowledge 
{txt}{p 0 6 2}note: {bf:knowledge} omitted because of collinearity.{p_end}

      Source {c |}       SS           df       MS      Number of obs   ={res}    21,635
{txt}{hline 13}{c +}{hline 34}   F(5, 21629)     = {res}    30.64
{txt}       Model {c |} {res} 121.705041         5  24.3410083   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res}  17184.892    21,629  .794530119   {txt}R-squared       ={res}    0.0070
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0068
{txt}       Total {c |} {res}  17306.597    21,634  .799972127   {txt}Root MSE        =   {res} .89136

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}             Support{col 22}{c |} Coefficient{col 34}  Std. err.{col 46}      t{col 54}   P>|t|{col 62}     [95% con{col 75}f. interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}1.contrump {c |}{col 22}{res}{space 2}-.1742402{col 34}{space 2} .0395136{col 45}{space 1}   -4.41{col 54}{space 3}0.000{col 62}{space 4}-.2516898{col 75}{space 3}-.0967906
{txt}{space 11}knowledge {c |}{col 22}{res}{space 2}  .004881{col 34}{space 2} .0044336{col 45}{space 1}    1.10{col 54}{space 3}0.271{col 62}{space 4}-.0038093{col 75}{space 3} .0135713
{txt}{space 20} {c |}
contrump#c.knowledge {c |}
{space 18}1  {c |}{col 22}{res}{space 2} .0161576{col 34}{space 2}  .006242{col 45}{space 1}    2.59{col 54}{space 3}0.010{col 62}{space 4} .0039228{col 75}{space 3} .0283924
{txt}{space 20} {c |}
{space 10}1.libtrump {c |}{col 22}{res}{space 2}-.0046695{col 34}{space 2} .0392017{col 45}{space 1}   -0.12{col 54}{space 3}0.905{col 62}{space 4}-.0815077{col 75}{space 3} .0721687
{txt}{space 11}knowledge {c |}{col 22}{res}{space 2}        0{col 34}{txt}  (omitted)
{space 20} {c |}
libtrump#c.knowledge {c |}
{space 18}1  {c |}{col 22}{res}{space 2} .0139489{col 34}{space 2} .0062126{col 45}{space 1}    2.25{col 54}{space 3}0.025{col 62}{space 4} .0017718{col 75}{space 3}  .026126
{txt}{space 20} {c |}
{space 15}_cons {c |}{col 22}{res}{space 2} .2248304{col 34}{space 2} .0280216{col 45}{space 1}    8.02{col 54}{space 3}0.000{col 62}{space 4}  .169906{col 75}{space 3} .2797549
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. *party strength
. regress Support i.contrump##c.party_strength i.libtrump##c.party_strength  if inlist(pid7, 4, 5, 6, 7)
{txt}{p 0 6 2}note: {bf:party_strength} omitted because of collinearity.{p_end}

      Source {c |}       SS           df       MS      Number of obs   ={res}    11,118
{txt}{hline 13}{c +}{hline 34}   F(5, 11112)     = {res}   133.60
{txt}       Model {c |} {res}  529.32667         5  105.865334   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 8805.37382    11,112   .79242025   {txt}R-squared       ={res}    0.0567
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0563
{txt}       Total {c |} {res} 9334.70049    11,117  .839678014   {txt}Root MSE        =   {res} .89018

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                  Support{col 27}{c |} Coefficient{col 39}  Std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}1.contrump {c |}{col 27}{res}{space 2} -.056927{col 39}{space 2} .0489658{col 50}{space 1}   -1.16{col 59}{space 3}0.245{col 67}{space 4}-.1529086{col 80}{space 3} .0390546
{txt}{space 11}party_strength {c |}{col 27}{res}{space 2}-.1523793{col 39}{space 2} .0123033{col 50}{space 1}  -12.39{col 59}{space 3}0.000{col 67}{space 4} -.176496{col 80}{space 3}-.1282626
{txt}{space 25} {c |}
contrump#c.party_strength {c |}
{space 23}1  {c |}{col 27}{res}{space 2}-.0289566{col 39}{space 2} .0172551{col 50}{space 1}   -1.68{col 59}{space 3}0.093{col 67}{space 4}-.0627796{col 80}{space 3} .0048663
{txt}{space 25} {c |}
{space 15}1.libtrump {c |}{col 27}{res}{space 2}  .029507{col 39}{space 2} .0496783{col 50}{space 1}    0.59{col 59}{space 3}0.553{col 67}{space 4}-.0678713{col 80}{space 3} .1268853
{txt}{space 11}party_strength {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 25} {c |}
libtrump#c.party_strength {c |}
{space 23}1  {c |}{col 27}{res}{space 2} .0614663{col 39}{space 2} .0173706{col 50}{space 1}    3.54{col 59}{space 3}0.000{col 67}{space 4} .0274169{col 80}{space 3} .0955157
{txt}{space 25} {c |}
{space 20}_cons {c |}{col 27}{res}{space 2}  .249368{col 39}{space 2} .0348986{col 50}{space 1}    7.15{col 59}{space 3}0.000{col 67}{space 4} .1809606{col 80}{space 3} .3177754
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. *trump approval
. regress Support i.contrump##c.trump_favor i.libtrump##c.trump_favor 
{txt}{p 0 6 2}note: {bf:trump_favor} omitted because of collinearity.{p_end}

      Source {c |}       SS           df       MS      Number of obs   ={res}    21,217
{txt}{hline 13}{c +}{hline 34}   F(5, 21211)     = {res}  1625.80
{txt}       Model {c |} {res} 4742.05291         5  948.410582   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 12373.4066    21,211  .583348573   {txt}R-squared       ={res}    0.2771
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.2769
{txt}       Total {c |} {res} 17115.4595    21,216  .806724146   {txt}Root MSE        =   {res} .76377

{txt}{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}               Support{col 24}{c |} Coefficient{col 36}  Std. err.{col 48}      t{col 56}   P>|t|{col 64}     [95% con{col 77}f. interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}1.contrump {c |}{col 24}{res}{space 2} .0549871{col 36}{space 2} .0254919{col 47}{space 1}    2.16{col 56}{space 3}0.031{col 64}{space 4} .0050211{col 77}{space 3} .1049532
{txt}{space 11}trump_favor {c |}{col 24}{res}{space 2}-.3718406{col 36}{space 2}  .007103{col 47}{space 1}  -52.35{col 56}{space 3}0.000{col 64}{space 4}-.3857631{col 77}{space 3}-.3579182
{txt}{space 22} {c |}
contrump#c.trump_favor {c |}
{space 20}1  {c |}{col 24}{res}{space 2}-.0588932{col 36}{space 2} .0099701{col 47}{space 1}   -5.91{col 56}{space 3}0.000{col 64}{space 4}-.0784353{col 77}{space 3}-.0393511
{txt}{space 22} {c |}
{space 12}1.libtrump {c |}{col 24}{res}{space 2}-.1452867{col 36}{space 2} .0256333{col 47}{space 1}   -5.67{col 56}{space 3}0.000{col 64}{space 4}-.1955298{col 77}{space 3}-.0950435
{txt}{space 11}trump_favor {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 22} {c |}
libtrump#c.trump_favor {c |}
{space 20}1  {c |}{col 24}{res}{space 2} .1054283{col 36}{space 2} .0099701{col 47}{space 1}   10.57{col 56}{space 3}0.000{col 64}{space 4}  .085886{col 77}{space 3} .1249705
{txt}{space 22} {c |}
{space 17}_cons {c |}{col 24}{res}{space 2} 1.072672{col 36}{space 2} .0181284{col 47}{space 1}   59.17{col 56}{space 3}0.000{col 64}{space 4} 1.037139{col 77}{space 3} 1.108205
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. *ideology
. regress Support i.contrump##c.ideo5b i.libtrump##c.ideo5b 
{txt}{p 0 6 2}note: {bf:ideo5b} omitted because of collinearity.{p_end}

      Source {c |}       SS           df       MS      Number of obs   ={res}    20,503
{txt}{hline 13}{c +}{hline 34}   F(5, 20497)     = {res}  1146.08
{txt}       Model {c |} {res} 3636.93021         5  727.386041   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 13008.9467    20,497  .634675645   {txt}R-squared       ={res}    0.2185
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.2183
{txt}       Total {c |} {res} 16645.8769    20,502  .811914784   {txt}Root MSE        =   {res} .79667

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          Support{col 19}{c |} Coefficient{col 31}  Std. err.{col 43}      t{col 51}   P>|t|{col 59}     [95% con{col 72}f. interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}1.contrump {c |}{col 19}{res}{space 2} .1164062{col 31}{space 2} .0367067{col 42}{space 1}    3.17{col 51}{space 3}0.002{col 59}{space 4} .0444582{col 72}{space 3} .1883541
{txt}{space 11}ideo5b {c |}{col 19}{res}{space 2}-.3436224{col 31}{space 2} .0078896{col 42}{space 1}  -43.55{col 51}{space 3}0.000{col 59}{space 4}-.3590867{col 72}{space 3} -.328158
{txt}{space 17} {c |}
contrump#c.ideo5b {c |}
{space 15}1  {c |}{col 19}{res}{space 2} -.059991{col 31}{space 2}  .011191{col 42}{space 1}   -5.36{col 51}{space 3}0.000{col 59}{space 4}-.0819263{col 72}{space 3}-.0380557
{txt}{space 17} {c |}
{space 7}1.libtrump {c |}{col 19}{res}{space 2}-.1525049{col 31}{space 2} .0367106{col 42}{space 1}   -4.15{col 51}{space 3}0.000{col 59}{space 4}-.2244605{col 72}{space 3}-.0805492
{txt}{space 11}ideo5b {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 17} {c |}
libtrump#c.ideo5b {c |}
{space 15}1  {c |}{col 19}{res}{space 2} .0797533{col 31}{space 2}  .011159{col 42}{space 1}    7.15{col 51}{space 3}0.000{col 59}{space 4} .0578807{col 72}{space 3} .1016258
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}  1.29314{col 31}{space 2} .0258287{col 42}{space 1}   50.07{col 51}{space 3}0.000{col 59}{space 4} 1.242514{col 72}{space 3} 1.343767
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. 
. 
. 
. **********************************************
. *TABLE A3: Average Treatment Effect Interacted With Issue Importance
. *simple interaction - Model 1
. regress Support i.libtrump##c.issue_salience i.contrump##c.issue_salience, cluster(Question)
{txt}{p 0 6 2}note: {bf:issue_salience} omitted because of collinearity.{p_end}

Linear regression                               Number of obs     = {res}    20,499
                                                {txt}F(5, 19)          =  {res}    54.60
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0596
                                                {txt}Root MSE          =    {res}  .8669

{txt}{ralign 91:(Std. err. adjusted for {res:20} clusters in {res:Question})}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                  Support{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}1.libtrump {c |}{col 27}{res}{space 2}  .181874{col 39}{space 2} .0473565{col 50}{space 1}    3.84{col 59}{space 3}0.001{col 67}{space 4} .0827557{col 80}{space 3} .2809924
{txt}{space 11}issue_salience {c |}{col 27}{res}{space 2} .2159781{col 39}{space 2} .0417943{col 50}{space 1}    5.17{col 59}{space 3}0.000{col 67}{space 4} .1285016{col 80}{space 3} .3034545
{txt}{space 25} {c |}
libtrump#c.issue_salience {c |}
{space 23}1  {c |}{col 27}{res}{space 2} -.023786{col 39}{space 2} .0121899{col 50}{space 1}   -1.95{col 59}{space 3}0.066{col 67}{space 4}-.0492998{col 80}{space 3} .0017278
{txt}{space 25} {c |}
{space 15}1.contrump {c |}{col 27}{res}{space 2} -.114575{col 39}{space 2} .0816314{col 50}{space 1}   -1.40{col 59}{space 3}0.177{col 67}{space 4}-.2854314{col 80}{space 3} .0562814
{txt}{space 11}issue_salience {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 25} {c |}
contrump#c.issue_salience {c |}
{space 23}1  {c |}{col 27}{res}{space 2} .0094482{col 39}{space 2} .0170102{col 50}{space 1}    0.56{col 59}{space 3}0.585{col 67}{space 4}-.0261546{col 80}{space 3}  .045051
{txt}{space 25} {c |}
{space 20}_cons {c |}{col 27}{res}{space 2}-.6521189{col 39}{space 2} .1821393{col 50}{space 1}   -3.58{col 59}{space 3}0.002{col 67}{space 4}-1.033341{col 80}{space 3}-.2708969
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. *Model 2 - include individual fixed effects - accounts for average level of caring for each person
. areg Support i.libtrump##c.issue_salience i.contrump##c.issue_salience, absorb(caseid) cluster(Question)
{txt}note: {bf:issue_salience} omitted because of collinearity.
{res}
{txt}{col 1}Linear regression, absorbing indicators{col 53}{lalign 17:Number of obs}{col 70} = {res}{ralign 6:20,499}
{txt}{col 1}Absorbed variable: {res:caseid}{col 53}{lalign 17:No. of categories}{col 70} = {res}{ralign 6:1,033}
{txt}{col 53}{lalign 17:F({res:5}, {res:19})}{col 70} = {res}{ralign 6:112.07}
{txt}{col 53}{lalign 17:Prob > F}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 53}{lalign 17:R-squared}{col 70} = {res}{ralign 6:0.3822}
{txt}{col 53}{lalign 17:Adj R-squared}{col 70} = {res}{ralign 6:0.3492}
{txt}{col 53}{lalign 17:Root MSE}{col 70} = {res}{ralign 6:0.7211}

{txt}{ralign 91:(Std. err. adjusted for {res:20} clusters in {res:Question})}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                  Support{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}1.libtrump {c |}{col 27}{res}{space 2} .2415917{col 39}{space 2} .0467186{col 50}{space 1}    5.17{col 59}{space 3}0.000{col 67}{space 4} .1438085{col 80}{space 3} .3393749
{txt}{space 11}issue_salience {c |}{col 27}{res}{space 2} .1132597{col 39}{space 2} .0284804{col 50}{space 1}    3.98{col 59}{space 3}0.001{col 67}{space 4} .0536495{col 80}{space 3}   .17287
{txt}{space 25} {c |}
libtrump#c.issue_salience {c |}
{space 23}1  {c |}{col 27}{res}{space 2}-.0352102{col 39}{space 2} .0121055{col 50}{space 1}   -2.91{col 59}{space 3}0.009{col 67}{space 4}-.0605473{col 80}{space 3}-.0098732
{txt}{space 25} {c |}
{space 15}1.contrump {c |}{col 27}{res}{space 2}-.0977025{col 39}{space 2} .0541436{col 50}{space 1}   -1.80{col 59}{space 3}0.087{col 67}{space 4}-.2110264{col 80}{space 3} .0156214
{txt}{space 11}issue_salience {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 25} {c |}
contrump#c.issue_salience {c |}
{space 23}1  {c |}{col 27}{res}{space 2} .0059421{col 39}{space 2}  .011173{col 50}{space 1}    0.53{col 59}{space 3}0.601{col 67}{space 4}-.0174432{col 80}{space 3} .0293274
{txt}{space 25} {c |}
{space 20}_cons {c |}{col 27}{res}{space 2}-.2262114{col 39}{space 2} .1258217{col 50}{space 1}   -1.80{col 59}{space 3}0.088{col 67}{space 4}-.4895592{col 80}{space 3} .0371364
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Model 3 - include question fixed effects - accounts for aveage level of caring for each question
. areg Support i.libtrump##c.issue_salience i.contrump##c.issue_salience, absorb(Question) cluster(caseid)
{txt}note: {bf:issue_salience} omitted because of collinearity.
{res}
{txt}{col 1}Linear regression, absorbing indicators{col 53}{lalign 17:Number of obs}{col 70} = {res}{ralign 6:20,499}
{txt}{col 1}Absorbed variable: {res:Question}{col 53}{lalign 17:No. of categories}{col 70} = {res}{ralign 6:20}
{txt}{col 53}{lalign 17:F({res:5}, {res:1032})}{col 70} = {res}{ralign 6:124.66}
{txt}{col 53}{lalign 17:Prob > F}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 53}{lalign 17:R-squared}{col 70} = {res}{ralign 6:0.1391}
{txt}{col 53}{lalign 17:Adj R-squared}{col 70} = {res}{ralign 6:0.1381}
{txt}{col 53}{lalign 17:Root MSE}{col 70} = {res}{ralign 6:0.8298}

{txt}{ralign 91:(Std. err. adjusted for {res:1,033} clusters in {res:caseid})}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                  Support{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}1.libtrump {c |}{col 27}{res}{space 2} .1977315{col 39}{space 2} .0622253{col 50}{space 1}    3.18{col 59}{space 3}0.002{col 67}{space 4}  .075629{col 80}{space 3}  .319834
{txt}{space 11}issue_salience {c |}{col 27}{res}{space 2} .2023496{col 39}{space 2} .0119571{col 50}{space 1}   16.92{col 59}{space 3}0.000{col 67}{space 4} .1788865{col 80}{space 3} .2258126
{txt}{space 25} {c |}
libtrump#c.issue_salience {c |}
{space 23}1  {c |}{col 27}{res}{space 2}-.0290266{col 39}{space 2} .0141904{col 50}{space 1}   -2.05{col 59}{space 3}0.041{col 67}{space 4}-.0568719{col 80}{space 3}-.0011813
{txt}{space 25} {c |}
{space 15}1.contrump {c |}{col 27}{res}{space 2}-.1219894{col 39}{space 2} .0638676{col 50}{space 1}   -1.91{col 59}{space 3}0.056{col 67}{space 4}-.2473145{col 80}{space 3} .0033358
{txt}{space 11}issue_salience {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 25} {c |}
contrump#c.issue_salience {c |}
{space 23}1  {c |}{col 27}{res}{space 2} .0110526{col 39}{space 2} .0145569{col 50}{space 1}    0.76{col 59}{space 3}0.448{col 67}{space 4}-.0175119{col 80}{space 3} .0396171
{txt}{space 25} {c |}
{space 20}_cons {c |}{col 27}{res}{space 2}-.5927502{col 39}{space 2} .0518934{col 50}{space 1}  -11.42{col 59}{space 3}0.000{col 67}{space 4}-.6945788{col 80}{space 3}-.4909217
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Model 4 - control for mean importance rather than fixed effect
. regress Support i.libtrump##c.issue_salience i.contrump##c.issue_salience salience_ave, cluster(Question)
{txt}{p 0 6 2}note: {bf:issue_salience} omitted because of collinearity.{p_end}

Linear regression                               Number of obs     = {res}    20,499
                                                {txt}F(6, 19)          =  {res}   126.79
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0924
                                                {txt}Root MSE          =    {res} .85166

{txt}{ralign 91:(Std. err. adjusted for {res:20} clusters in {res:Question})}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                  Support{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}1.libtrump {c |}{col 27}{res}{space 2} .1824553{col 39}{space 2} .0430837{col 50}{space 1}    4.23{col 59}{space 3}0.000{col 67}{space 4} .0922801{col 80}{space 3} .2726304
{txt}{space 11}issue_salience {c |}{col 27}{res}{space 2} .1084417{col 39}{space 2} .0584541{col 50}{space 1}    1.86{col 59}{space 3}0.079{col 67}{space 4}-.0139042{col 80}{space 3} .2307876
{txt}{space 25} {c |}
libtrump#c.issue_salience {c |}
{space 23}1  {c |}{col 27}{res}{space 2}-.0246112{col 39}{space 2} .0111622{col 50}{space 1}   -2.20{col 59}{space 3}0.040{col 67}{space 4} -.047974{col 80}{space 3}-.0012484
{txt}{space 25} {c |}
{space 15}1.contrump {c |}{col 27}{res}{space 2}-.1143992{col 39}{space 2} .0820673{col 50}{space 1}   -1.39{col 59}{space 3}0.179{col 67}{space 4} -.286168{col 80}{space 3} .0573696
{txt}{space 11}issue_salience {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 25} {c |}
contrump#c.issue_salience {c |}
{space 23}1  {c |}{col 27}{res}{space 2} .0092179{col 39}{space 2} .0170764{col 50}{space 1}    0.54{col 59}{space 3}0.596{col 67}{space 4}-.0265234{col 80}{space 3} .0449592
{txt}{space 25} {c |}
{space 13}salience_ave {c |}{col 27}{res}{space 2} .3571491{col 39}{space 2} .0620361{col 50}{space 1}    5.76{col 59}{space 3}0.000{col 67}{space 4} .2273061{col 80}{space 3} .4869921
{txt}{space 20}_cons {c |}{col 27}{res}{space 2}-1.697476{col 39}{space 2} .1582033{col 50}{space 1}  -10.73{col 59}{space 3}0.000{col 67}{space 4}  -2.0286{col 80}{space 3}-1.366353
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. *Model 5 - control for mean importance and include question fixed effect
. areg Support i.libtrump##c.issue_salience i.contrump##c.issue_salience salience_ave, absorb(Question) cluster(caseid)
{txt}note: {bf:issue_salience} omitted because of collinearity.
{res}
{txt}{col 1}Linear regression, absorbing indicators{col 53}{lalign 17:Number of obs}{col 70} = {res}{ralign 6:20,499}
{txt}{col 1}Absorbed variable: {res:Question}{col 53}{lalign 17:No. of categories}{col 70} = {res}{ralign 6:20}
{txt}{col 53}{lalign 17:F({res:6}, {res:1032})}{col 70} = {res}{ralign 6:100.65}
{txt}{col 53}{lalign 17:Prob > F}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 53}{lalign 17:R-squared}{col 70} = {res}{ralign 6:0.1773}
{txt}{col 53}{lalign 17:Adj R-squared}{col 70} = {res}{ralign 6:0.1763}
{txt}{col 53}{lalign 17:Root MSE}{col 70} = {res}{ralign 6:0.8112}

{txt}{ralign 91:(Std. err. adjusted for {res:1,033} clusters in {res:caseid})}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                  Support{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}1.libtrump {c |}{col 27}{res}{space 2} .1986217{col 39}{space 2} .0642996{col 50}{space 1}    3.09{col 59}{space 3}0.002{col 67}{space 4} .0724489{col 80}{space 3} .3247946
{txt}{space 11}issue_salience {c |}{col 27}{res}{space 2}  .074601{col 39}{space 2} .0104218{col 50}{space 1}    7.16{col 59}{space 3}0.000{col 67}{space 4} .0541506{col 80}{space 3} .0950514
{txt}{space 25} {c |}
libtrump#c.issue_salience {c |}
{space 23}1  {c |}{col 27}{res}{space 2}-.0299487{col 39}{space 2} .0145621{col 50}{space 1}   -2.06{col 59}{space 3}0.040{col 67}{space 4}-.0585235{col 80}{space 3}-.0013739
{txt}{space 25} {c |}
{space 15}1.contrump {c |}{col 27}{res}{space 2}-.1257809{col 39}{space 2} .0652377{col 50}{space 1}   -1.93{col 59}{space 3}0.054{col 67}{space 4}-.2537947{col 80}{space 3} .0022329
{txt}{space 11}issue_salience {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 25} {c |}
contrump#c.issue_salience {c |}
{space 23}1  {c |}{col 27}{res}{space 2}  .011866{col 39}{space 2} .0147794{col 50}{space 1}    0.80{col 59}{space 3}0.422{col 67}{space 4} -.017135{col 80}{space 3} .0408671
{txt}{space 25} {c |}
{space 13}salience_ave {c |}{col 27}{res}{space 2} .3919492{col 39}{space 2} .0261758{col 50}{space 1}   14.97{col 59}{space 3}0.000{col 67}{space 4} .3405853{col 80}{space 3} .4433131
{txt}{space 20}_cons {c |}{col 27}{res}{space 2}-1.699383{col 39}{space 2} .1127249{col 50}{space 1}  -15.08{col 59}{space 3}0.000{col 67}{space 4} -1.92058{col 80}{space 3}-1.478187
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Model 6 - include question and individual fixed effect
. areg Support i.Question i.libtrump##c.issue_salience i.contrump##c.issue_salience, absorb(caseid) cluster(Question)
{txt}note: {bf:issue_salience} omitted because of collinearity.
{res}
{txt}{col 1}Linear regression, absorbing indicators{col 53}{lalign 17:Number of obs}{col 70} = {res}{ralign 6:20,499}
{txt}{col 1}Absorbed variable: {res:caseid}{col 53}{lalign 17:No. of categories}{col 70} = {res}{ralign 6:1,033}
{txt}{col 53}{lalign 17:{help j_robustsingular##|_new:F(19, 19)}}{col 70} = {res}{ralign 6:.}
{txt}{col 53}{lalign 17:Prob > F}{col 70} = {res}{ralign 6:.}
{txt}{col 53}{lalign 17:R-squared}{col 70} = {res}{ralign 6:0.4668}
{txt}{col 53}{lalign 17:Adj R-squared}{col 70} = {res}{ralign 6:0.4379}
{txt}{col 53}{lalign 17:Root MSE}{col 70} = {res}{ralign 6:0.6701}

{txt}{ralign 91:(Std. err. adjusted for {res:20} clusters in {res:Question})}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                  Support{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}Question {c |}
{space 10}"Tax Increase"  {c |}{col 27}{res}{space 2} .0460879{col 39}{space 2} .0076684{col 50}{space 1}    6.01{col 59}{space 3}0.000{col 67}{space 4} .0300377{col 80}{space 3} .0621382
{txt}{space 14}"Abortion"  {c |}{col 27}{res}{space 2} .0755129{col 39}{space 2} .0047821{col 50}{space 1}   15.79{col 59}{space 3}0.000{col 67}{space 4} .0655038{col 80}{space 3}  .085522
{txt}{space 11}"Immigration"  {c |}{col 27}{res}{space 2}-.3105938{col 39}{space 2} .0071954{col 50}{space 1}  -43.17{col 59}{space 3}0.000{col 67}{space 4}-.3256539{col 80}{space 3}-.2955337
{txt}{space 10} "School Guns"  {c |}{col 27}{res}{space 2}-.2293652{col 39}{space 2} .0087873{col 50}{space 1}  -26.10{col 59}{space 3}0.000{col 67}{space 4}-.2477573{col 80}{space 3}-.2109731
{txt}{space 11}"Health Care"  {c |}{col 27}{res}{space 2} -.225541{col 39}{space 2} .0111786{col 50}{space 1}  -20.18{col 59}{space 3}0.000{col 67}{space 4}-.2489381{col 80}{space 3} -.202144
{txt}{space 7}"Guns Background"  {c |}{col 27}{res}{space 2} .3087095{col 39}{space 2} .0087396{col 50}{space 1}   35.32{col 59}{space 3}0.000{col 67}{space 4} .2904172{col 80}{space 3} .3270018
{txt}{space 8}"Climate Change"  {c |}{col 27}{res}{space 2} -.095667{col 39}{space 2} .0032676{col 50}{space 1}  -29.28{col 59}{space 3}0.000{col 67}{space 4}-.1025062{col 80}{space 3}-.0888278
{txt}{space 4}"Planned Parenthood"  {c |}{col 27}{res}{space 2} -.282044{col 39}{space 2} .0057557{col 50}{space 1}  -49.00{col 59}{space 3}0.000{col 67}{space 4}-.2940908{col 80}{space 3}-.2699971
{txt}{space 11}"North Korea"  {c |}{col 27}{res}{space 2}-.4330583{col 39}{space 2} .0006283{col 50}{space 1} -689.30{col 59}{space 3}0.000{col 67}{space 4}-.4343732{col 80}{space 3}-.4317433
{txt}{space 10}"China Tarrif"  {c |}{col 27}{res}{space 2}-.4417958{col 39}{space 2} .0005507{col 50}{space 1} -802.31{col 59}{space 3}0.000{col 67}{space 4}-.4429483{col 80}{space 3}-.4406433
{txt}{space 10}"Steel Tarrif"  {c |}{col 27}{res}{space 2}-.3176132{col 39}{space 2} .0005708{col 50}{space 1} -556.46{col 59}{space 3}0.000{col 67}{space 4}-.3188079{col 80}{space 3}-.3164186
{txt}{space 8}"Remove Mueller"  {c |}{col 27}{res}{space 2}-.1351576{col 39}{space 2} .0061071{col 50}{space 1}  -22.13{col 59}{space 3}0.000{col 67}{space 4}  -.14794{col 80}{space 3}-.1223752
{txt}{space 10}"Cut Medicare"  {c |}{col 27}{res}{space 2} .3325423{col 39}{space 2} .0087736{col 50}{space 1}   37.90{col 59}{space 3}0.000{col 67}{space 4}  .314179{col 80}{space 3} .3509056
{txt}{space 11}"Drug Prices"  {c |}{col 27}{res}{space 2} .2364211{col 39}{space 2}  .007682{col 50}{space 1}   30.78{col 59}{space 3}0.000{col 67}{space 4} .2203425{col 80}{space 3} .2524997
{txt}{space 11}"Food Stamps"  {c |}{col 27}{res}{space 2}-.5958802{col 39}{space 2} .0033508{col 50}{space 1} -177.83{col 59}{space 3}0.000{col 67}{space 4}-.6028934{col 80}{space 3} -.588867
{txt}{space 10}"Oil Drilling"  {c |}{col 27}{res}{space 2}-.3960894{col 39}{space 2} .0033107{col 50}{space 1} -119.64{col 59}{space 3}0.000{col 67}{space 4}-.4030187{col 80}{space 3}-.3891601
{txt}{space 10}"Comey Unfair"  {c |}{col 27}{res}{space 2}-.4442899{col 39}{space 2} .0060287{col 50}{space 1}  -73.70{col 59}{space 3}0.000{col 67}{space 4}-.4569081{col 80}{space 3}-.4316717
{txt}{space 11}"Puerto Rico"  {c |}{col 27}{res}{space 2} .0698801{col 39}{space 2} .0031963{col 50}{space 1}   21.86{col 59}{space 3}0.000{col 67}{space 4} .0631902{col 80}{space 3}   .07657
{txt}{space 10}"Support DACA"  {c |}{col 27}{res}{space 2}-.2918356{col 39}{space 2} .0071084{col 50}{space 1}  -41.06{col 59}{space 3}0.000{col 67}{space 4}-.3067137{col 80}{space 3}-.2769576
{txt}{space 25} {c |}
{space 15}1.libtrump {c |}{col 27}{res}{space 2} .2586639{col 39}{space 2} .0402767{col 50}{space 1}    6.42{col 59}{space 3}0.000{col 67}{space 4} .1743638{col 80}{space 3}  .342964
{txt}{space 11}issue_salience {c |}{col 27}{res}{space 2}  .079251{col 39}{space 2} .0192824{col 50}{space 1}    4.11{col 59}{space 3}0.001{col 67}{space 4} .0388926{col 80}{space 3} .1196095
{txt}{space 25} {c |}
libtrump#c.issue_salience {c |}
{space 23}1  {c |}{col 27}{res}{space 2}-.0408268{col 39}{space 2} .0110742{col 50}{space 1}   -3.69{col 59}{space 3}0.002{col 67}{space 4}-.0640052{col 80}{space 3}-.0176483
{txt}{space 25} {c |}
{space 15}1.contrump {c |}{col 27}{res}{space 2}-.1100013{col 39}{space 2} .0459464{col 50}{space 1}   -2.39{col 59}{space 3}0.027{col 67}{space 4}-.2061681{col 80}{space 3}-.0138344
{txt}{space 11}issue_salience {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 25} {c |}
contrump#c.issue_salience {c |}
{space 23}1  {c |}{col 27}{res}{space 2} .0088126{col 39}{space 2} .0097379{col 50}{space 1}    0.90{col 59}{space 3}0.377{col 67}{space 4}-.0115691{col 80}{space 3} .0291944
{txt}{space 25} {c |}
{space 20}_cons {c |}{col 27}{res}{space 2} .0749146{col 39}{space 2} .0761003{col 50}{space 1}    0.98{col 59}{space 3}0.337{col 67}{space 4}-.0843651{col 80}{space 3} .2341943
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Model 7 - include control variables
. regress Support i.libtrump##c.issue_salience i.contrump##c.issue_salience knowledge party_strength trump_favor ideo5b republican democrat, cluster(Question)
{txt}{p 0 6 2}note: {bf:issue_salience} omitted because of collinearity.{p_end}

Linear regression                               Number of obs     = {res}    18,967
                                                {txt}F(11, 19)         =  {res}   126.20
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.3128
                                                {txt}Root MSE          =    {res} .74954

{txt}{ralign 91:(Std. err. adjusted for {res:20} clusters in {res:Question})}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                  Support{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}1.libtrump {c |}{col 27}{res}{space 2} .2476019{col 39}{space 2}  .055892{col 50}{space 1}    4.43{col 59}{space 3}0.000{col 67}{space 4} .1306185{col 80}{space 3} .3645853
{txt}{space 11}issue_salience {c |}{col 27}{res}{space 2} .1229136{col 39}{space 2} .0257905{col 50}{space 1}    4.77{col 59}{space 3}0.000{col 67}{space 4} .0689335{col 80}{space 3} .1768937
{txt}{space 25} {c |}
libtrump#c.issue_salience {c |}
{space 23}1  {c |}{col 27}{res}{space 2}-.0345729{col 39}{space 2} .0135621{col 50}{space 1}   -2.55{col 59}{space 3}0.020{col 67}{space 4}-.0629587{col 80}{space 3}-.0061871
{txt}{space 25} {c |}
{space 15}1.contrump {c |}{col 27}{res}{space 2}-.1024989{col 39}{space 2} .0732662{col 50}{space 1}   -1.40{col 59}{space 3}0.178{col 67}{space 4}-.2558468{col 80}{space 3}  .050849
{txt}{space 11}issue_salience {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 25} {c |}
contrump#c.issue_salience {c |}
{space 23}1  {c |}{col 27}{res}{space 2} .0083377{col 39}{space 2} .0147817{col 50}{space 1}    0.56{col 59}{space 3}0.579{col 67}{space 4}-.0226008{col 80}{space 3} .0392762
{txt}{space 25} {c |}
{space 16}knowledge {c |}{col 27}{res}{space 2}  -.00564{col 39}{space 2} .0080034{col 50}{space 1}   -0.70{col 59}{space 3}0.490{col 67}{space 4}-.0223913{col 80}{space 3} .0111114
{txt}{space 11}party_strength {c |}{col 27}{res}{space 2} .0118392{col 39}{space 2} .0086352{col 50}{space 1}    1.37{col 59}{space 3}0.186{col 67}{space 4}-.0062345{col 80}{space 3} .0299129
{txt}{space 14}trump_favor {c |}{col 27}{res}{space 2}  -.21334{col 39}{space 2} .0178879{col 50}{space 1}  -11.93{col 59}{space 3}0.000{col 67}{space 4}-.2507798{col 80}{space 3}-.1759003
{txt}{space 19}ideo5b {c |}{col 27}{res}{space 2}-.0953904{col 39}{space 2} .0109522{col 50}{space 1}   -8.71{col 59}{space 3}0.000{col 67}{space 4}-.1183137{col 80}{space 3}-.0724672
{txt}{space 15}republican {c |}{col 27}{res}{space 2}-.1161877{col 39}{space 2} .0288414{col 50}{space 1}   -4.03{col 59}{space 3}0.001{col 67}{space 4}-.1765534{col 80}{space 3} -.055822
{txt}{space 17}democrat {c |}{col 27}{res}{space 2} .1204932{col 39}{space 2} .0188658{col 50}{space 1}    6.39{col 59}{space 3}0.000{col 67}{space 4} .0810067{col 80}{space 3} .1599797
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .4790414{col 39}{space 2} .1504722{col 50}{space 1}    3.18{col 59}{space 3}0.005{col 67}{space 4} .1640994{col 80}{space 3} .7939835
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. *Model 8 - include control variables with question fixed effects
. areg Support i.libtrump##c.issue_salience i.contrump##c.issue_salience knowledge party_strength trump_favor ideo5b, absorb(Question) cluster(caseid)
{txt}note: {bf:issue_salience} omitted because of collinearity.
{res}
{txt}{col 1}Linear regression, absorbing indicators{col 53}{lalign 17:Number of obs}{col 70} = {res}{ralign 6:18,967}
{txt}{col 1}Absorbed variable: {res:Question}{col 53}{lalign 17:No. of categories}{col 70} = {res}{ralign 6:20}
{txt}{col 53}{lalign 17:F({res:9}, {res:955})}{col 70} = {res}{ralign 6:543.79}
{txt}{col 53}{lalign 17:Prob > F}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 53}{lalign 17:R-squared}{col 70} = {res}{ralign 6:0.3908}
{txt}{col 53}{lalign 17:Adj R-squared}{col 70} = {res}{ralign 6:0.3899}
{txt}{col 53}{lalign 17:Root MSE}{col 70} = {res}{ralign 6:0.7061}

{txt}{ralign 91:(Std. err. adjusted for {res:956} clusters in {res:caseid})}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                  Support{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}1.libtrump {c |}{col 27}{res}{space 2} .2677406{col 39}{space 2} .0600573{col 50}{space 1}    4.46{col 59}{space 3}0.000{col 67}{space 4}  .149881{col 80}{space 3} .3856002
{txt}{space 11}issue_salience {c |}{col 27}{res}{space 2} .1060178{col 39}{space 2} .0101625{col 50}{space 1}   10.43{col 59}{space 3}0.000{col 67}{space 4} .0860743{col 80}{space 3} .1259612
{txt}{space 25} {c |}
libtrump#c.issue_salience {c |}
{space 23}1  {c |}{col 27}{res}{space 2}-.0404594{col 39}{space 2} .0135593{col 50}{space 1}   -2.98{col 59}{space 3}0.003{col 67}{space 4}-.0670689{col 80}{space 3}-.0138499
{txt}{space 25} {c |}
{space 15}1.contrump {c |}{col 27}{res}{space 2}-.1099229{col 39}{space 2} .0565274{col 50}{space 1}   -1.94{col 59}{space 3}0.052{col 67}{space 4}-.2208552{col 80}{space 3} .0010093
{txt}{space 11}issue_salience {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 25} {c |}
contrump#c.issue_salience {c |}
{space 23}1  {c |}{col 27}{res}{space 2} .0102633{col 39}{space 2}  .012651{col 50}{space 1}    0.81{col 59}{space 3}0.417{col 67}{space 4}-.0145636{col 80}{space 3} .0350902
{txt}{space 25} {c |}
{space 16}knowledge {c |}{col 27}{res}{space 2}-.0074244{col 39}{space 2} .0044595{col 50}{space 1}   -1.66{col 59}{space 3}0.096{col 67}{space 4} -.016176{col 80}{space 3} .0013272
{txt}{space 11}party_strength {c |}{col 27}{res}{space 2} .0197506{col 39}{space 2} .0084312{col 50}{space 1}    2.34{col 59}{space 3}0.019{col 67}{space 4} .0032047{col 80}{space 3} .0362965
{txt}{space 14}trump_favor {c |}{col 27}{res}{space 2}-.2647809{col 39}{space 2} .0103661{col 50}{space 1}  -25.54{col 59}{space 3}0.000{col 67}{space 4}-.2851239{col 80}{space 3}-.2444379
{txt}{space 19}ideo5b {c |}{col 27}{res}{space 2} -.123748{col 39}{space 2} .0105592{col 50}{space 1}  -11.72{col 59}{space 3}0.000{col 67}{space 4}-.1444698{col 80}{space 3}-.1030262
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .7510389{col 39}{space 2} .0610654{col 50}{space 1}   12.30{col 59}{space 3}0.000{col 67}{space 4} .6312011{col 80}{space 3} .8708766
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Model 9 - demeaned salience, include control variables with question fixed effects
. areg Support i.libtrump##c.salience_demean i.contrump##c.salience_demean knowledge party_strength trump_favor ideo5b, absorb(Question) cluster(caseid)
{txt}note: {bf:salience_demean} omitted because of collinearity.
{res}
{txt}{col 1}Linear regression, absorbing indicators{col 53}{lalign 17:Number of obs}{col 70} = {res}{ralign 6:18,967}
{txt}{col 1}Absorbed variable: {res:Question}{col 53}{lalign 17:No. of categories}{col 70} = {res}{ralign 6:20}
{txt}{col 53}{lalign 17:F({res:9}, {res:955})}{col 70} = {res}{ralign 6:467.69}
{txt}{col 53}{lalign 17:Prob > F}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 53}{lalign 17:R-squared}{col 70} = {res}{ralign 6:0.3844}
{txt}{col 53}{lalign 17:Adj R-squared}{col 70} = {res}{ralign 6:0.3835}
{txt}{col 53}{lalign 17:Root MSE}{col 70} = {res}{ralign 6:0.7097}

{txt}{ralign 92:(Std. err. adjusted for {res:956} clusters in {res:caseid})}
{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 28}{c |}{col 40}    Robust
{col 1}                   Support{col 28}{c |} Coefficient{col 40}  std. err.{col 52}      t{col 60}   P>|t|{col 68}     [95% con{col 81}f. interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}1.libtrump {c |}{col 28}{res}{space 2} .0975389{col 40}{space 2}  .014546{col 51}{space 1}    6.71{col 60}{space 3}0.000{col 68}{space 4}  .068993{col 81}{space 3} .1260848
{txt}{space 11}salience_demean {c |}{col 28}{res}{space 2} .0826417{col 40}{space 2}  .010627{col 51}{space 1}    7.78{col 60}{space 3}0.000{col 68}{space 4} .0617868{col 81}{space 3} .1034966
{txt}{space 26} {c |}
libtrump#c.salience_demean {c |}
{space 24}1  {c |}{col 28}{res}{space 2}-.0194072{col 40}{space 2} .0162019{col 51}{space 1}   -1.20{col 60}{space 3}0.231{col 68}{space 4}-.0512027{col 81}{space 3} .0123882
{txt}{space 26} {c |}
{space 16}1.contrump {c |}{col 28}{res}{space 2}-.0661389{col 40}{space 2} .0128643{col 51}{space 1}   -5.14{col 60}{space 3}0.000{col 68}{space 4}-.0913845{col 81}{space 3}-.0408933
{txt}{space 11}salience_demean {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 26} {c |}
contrump#c.salience_demean {c |}
{space 24}1  {c |}{col 28}{res}{space 2}-.0214909{col 40}{space 2} .0147039{col 51}{space 1}   -1.46{col 60}{space 3}0.144{col 68}{space 4}-.0503465{col 81}{space 3} .0073648
{txt}{space 26} {c |}
{space 17}knowledge {c |}{col 28}{res}{space 2}-.0036093{col 40}{space 2}   .00461{col 51}{space 1}   -0.78{col 60}{space 3}0.434{col 68}{space 4}-.0126563{col 81}{space 3} .0054376
{txt}{space 12}party_strength {c |}{col 28}{res}{space 2} .0248809{col 40}{space 2}  .008609{col 51}{space 1}    2.89{col 60}{space 3}0.004{col 68}{space 4} .0079862{col 81}{space 3} .0417757
{txt}{space 15}trump_favor {c |}{col 28}{res}{space 2}-.2728868{col 40}{space 2} .0107305{col 51}{space 1}  -25.43{col 60}{space 3}0.000{col 68}{space 4} -.293945{col 81}{space 3}-.2518286
{txt}{space 20}ideo5b {c |}{col 28}{res}{space 2}-.1321569{col 40}{space 2} .0111292{col 51}{space 1}  -11.87{col 60}{space 3}0.000{col 68}{space 4}-.1539974{col 81}{space 3}-.1103164
{txt}{space 21}_cons {c |}{col 28}{res}{space 2} 1.203049{col 40}{space 2} .0461384{col 51}{space 1}   26.07{col 60}{space 3}0.000{col 68}{space 4} 1.112505{col 81}{space 3} 1.293593
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. 
. 
. 
. **********************************************
. *TABLE A4: Liberal Trump Treatment by Party Identification
. 
. *liberal treatment
. gen pid3_indy = pid3
{txt}(21 missing values generated)

{com}. replace pid3_indy = 3 if pid3 == 4
{txt}(1,554 real changes made)

{com}. replace pid3_indy = 3 if pid3 == 5
{txt}(1,680 real changes made)

{com}. label values pid3_indy pid3
{txt}
{com}. 
. *Model 1 - all together with pid3
. regress Support i.libtrump##c.issue_salience##i.pid3_indy if contrump == 0, cluster(Question)

{txt}Linear regression                               Number of obs     = {res}    13,577
                                                {txt}F(11, 19)         =  {res}   217.12
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1645
                                                {txt}Root MSE          =    {res} .80428

{txt}{ralign 101:(Std. err. adjusted for {res:20} clusters in {res:Question})}
{hline 36}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 37}{c |}{col 49}    Robust
{col 1}                            Support{col 37}{c |} Coefficient{col 49}  std. err.{col 61}      t{col 69}   P>|t|{col 77}     [95% con{col 90}f. interval]
{hline 36}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 25}1.libtrump {c |}{col 37}{res}{space 2}-.2000317{col 49}{space 2} .0875346{col 60}{space 1}   -2.29{col 69}{space 3}0.034{col 77}{space 4}-.3832436{col 90}{space 3}-.0168198
{txt}{space 21}issue_salience {c |}{col 37}{res}{space 2} .1718273{col 49}{space 2} .0132628{col 60}{space 1}   12.96{col 69}{space 3}0.000{col 77}{space 4}  .144068{col 90}{space 3} .1995867
{txt}{space 35} {c |}
{space 10}libtrump#c.issue_salience {c |}
{space 33}1  {c |}{col 37}{res}{space 2} .0383792{col 49}{space 2} .0190395{col 60}{space 1}    2.02{col 69}{space 3}0.058{col 77}{space 4} -.001471{col 90}{space 3} .0782293
{txt}{space 35} {c |}
{space 26}pid3_indy {c |}
{space 24}Republican  {c |}{col 37}{res}{space 2}-.6481916{col 49}{space 2} .1874566{col 60}{space 1}   -3.46{col 69}{space 3}0.003{col 77}{space 4}-1.040543{col 90}{space 3}-.2558405
{txt}{space 23}Independent  {c |}{col 37}{res}{space 2}-.4733826{col 49}{space 2} .2091465{col 60}{space 1}   -2.26{col 69}{space 3}0.036{col 77}{space 4}-.9111312{col 90}{space 3} -.035634
{txt}{space 35} {c |}
{space 17}libtrump#pid3_indy {c |}
{space 22}1#Republican  {c |}{col 37}{res}{space 2} .5398845{col 49}{space 2} .1379947{col 60}{space 1}    3.91{col 69}{space 3}0.001{col 77}{space 4} .2510583{col 90}{space 3} .8287108
{txt}{space 21}1#Independent  {c |}{col 37}{res}{space 2} .3918063{col 49}{space 2} .1225102{col 60}{space 1}    3.20{col 69}{space 3}0.005{col 77}{space 4} .1353895{col 90}{space 3} .6482231
{txt}{space 35} {c |}
{space 9}pid3_indy#c.issue_salience {c |}
{space 24}Republican  {c |}{col 37}{res}{space 2}-.0521868{col 49}{space 2} .0515174{col 60}{space 1}   -1.01{col 69}{space 3}0.324{col 77}{space 4} -.160014{col 90}{space 3} .0556404
{txt}{space 23}Independent  {c |}{col 37}{res}{space 2} .0093313{col 49}{space 2} .0504261{col 60}{space 1}    0.19{col 69}{space 3}0.855{col 77}{space 4}-.0962118{col 90}{space 3} .1148744
{txt}{space 35} {c |}
libtrump#pid3_indy#c.issue_salience {c |}
{space 22}1#Republican  {c |}{col 37}{res}{space 2}-.0625899{col 49}{space 2} .0348887{col 60}{space 1}   -1.79{col 69}{space 3}0.089{col 77}{space 4}-.1356127{col 90}{space 3} .0104329
{txt}{space 21}1#Independent  {c |}{col 37}{res}{space 2}-.0651874{col 49}{space 2} .0311067{col 60}{space 1}   -2.10{col 69}{space 3}0.050{col 77}{space 4}-.1302945{col 90}{space 3}-.0000802
{txt}{space 35} {c |}
{space 30}_cons {c |}{col 37}{res}{space 2}-.0771967{col 49}{space 2} .0889936{col 60}{space 1}   -0.87{col 69}{space 3}0.397{col 77}{space 4}-.2634625{col 90}{space 3} .1090691
{txt}{hline 36}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. *these margins values get entered into .cvs file "party_interaction_models_margins.csv"
. *democrat
. margins, dydx(libtrump) at(issue_salience=(1(1)5) pid3_indy=(1))
{res}
{txt}{col 1}Conditional marginal effects{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:13,577}
{txt}{col 1}Model VCE: {res:Robust}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2col:dy/dx wrt:}{res:1.libtrump}{p_end}
{p2colreset}{...}
{lalign 7:1._at: }{space 0}{lalign 14:issue_salience} = {res:{ralign 1:1}}
{lalign 7:}{space 0}{lalign 14:pid3_indy} = {res:{ralign 1:1}}
{lalign 7:2._at: }{space 0}{lalign 14:issue_salience} = {res:{ralign 1:2}}
{lalign 7:}{space 0}{lalign 14:pid3_indy} = {res:{ralign 1:1}}
{lalign 7:3._at: }{space 0}{lalign 14:issue_salience} = {res:{ralign 1:3}}
{lalign 7:}{space 0}{lalign 14:pid3_indy} = {res:{ralign 1:1}}
{lalign 7:4._at: }{space 0}{lalign 14:issue_salience} = {res:{ralign 1:4}}
{lalign 7:}{space 0}{lalign 14:pid3_indy} = {res:{ralign 1:1}}
{lalign 7:5._at: }{space 0}{lalign 14:issue_salience} = {res:{ralign 1:5}}
{lalign 7:}{space 0}{lalign 14:pid3_indy} = {res:{ralign 1:1}}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}0.libtrump  {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}1.libtrump   {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.1616525{col 26}{space 2} .0693092{col 37}{space 1}   -2.33{col 46}{space 3}0.031{col 54}{space 4}-.3067184{col 67}{space 3}-.0165867
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.1232734{col 26}{space 2} .0516743{col 37}{space 1}   -2.39{col 46}{space 3}0.028{col 54}{space 4} -.231429{col 67}{space 3}-.0151177
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0848942{col 26}{space 2} .0355206{col 37}{space 1}   -2.39{col 46}{space 3}0.027{col 54}{space 4}-.1592397{col 67}{space 3}-.0105487
{txt}{space 10}4  {c |}{col 14}{res}{space 2} -.046515{col 26}{space 2} .0240457{col 37}{space 1}   -1.93{col 46}{space 3}0.068{col 54}{space 4}-.0968433{col 67}{space 3} .0038132
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.0081359{col 26}{space 2} .0248934{col 37}{space 1}   -0.33{col 46}{space 3}0.747{col 54}{space 4}-.0602385{col 67}{space 3} .0439667
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. *republican
. margins, dydx(libtrump) at(issue_salience=(1(1)5) pid3_indy=(2))
{res}
{txt}{col 1}Conditional marginal effects{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:13,577}
{txt}{col 1}Model VCE: {res:Robust}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2col:dy/dx wrt:}{res:1.libtrump}{p_end}
{p2colreset}{...}
{lalign 7:1._at: }{space 0}{lalign 14:issue_salience} = {res:{ralign 1:1}}
{lalign 7:}{space 0}{lalign 14:pid3_indy} = {res:{ralign 1:2}}
{lalign 7:2._at: }{space 0}{lalign 14:issue_salience} = {res:{ralign 1:2}}
{lalign 7:}{space 0}{lalign 14:pid3_indy} = {res:{ralign 1:2}}
{lalign 7:3._at: }{space 0}{lalign 14:issue_salience} = {res:{ralign 1:3}}
{lalign 7:}{space 0}{lalign 14:pid3_indy} = {res:{ralign 1:2}}
{lalign 7:4._at: }{space 0}{lalign 14:issue_salience} = {res:{ralign 1:4}}
{lalign 7:}{space 0}{lalign 14:pid3_indy} = {res:{ralign 1:2}}
{lalign 7:5._at: }{space 0}{lalign 14:issue_salience} = {res:{ralign 1:5}}
{lalign 7:}{space 0}{lalign 14:pid3_indy} = {res:{ralign 1:2}}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}0.libtrump  {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}1.libtrump   {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .3156421{col 26}{space 2} .0669047{col 37}{space 1}    4.72{col 46}{space 3}0.000{col 54}{space 4} .1756089{col 67}{space 3} .4556753
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .2914313{col 26}{space 2} .0451707{col 37}{space 1}    6.45{col 46}{space 3}0.000{col 54}{space 4}  .196888{col 67}{space 3} .3859747
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .2672206{col 26}{space 2} .0298106{col 37}{space 1}    8.96{col 46}{space 3}0.000{col 54}{space 4} .2048262{col 67}{space 3}  .329615
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .2430099{col 26}{space 2} .0319545{col 37}{space 1}    7.60{col 46}{space 3}0.000{col 54}{space 4} .1761283{col 67}{space 3} .3098915
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .2187991{col 26}{space 2} .0493725{col 37}{space 1}    4.43{col 46}{space 3}0.000{col 54}{space 4} .1154613{col 67}{space 3}  .322137
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. *independent
. margins, dydx(libtrump) at(issue_salience=(1(1)5) pid3_indy=(3))
{res}
{txt}{col 1}Conditional marginal effects{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:13,577}
{txt}{col 1}Model VCE: {res:Robust}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2col:dy/dx wrt:}{res:1.libtrump}{p_end}
{p2colreset}{...}
{lalign 7:1._at: }{space 0}{lalign 14:issue_salience} = {res:{ralign 1:1}}
{lalign 7:}{space 0}{lalign 14:pid3_indy} = {res:{ralign 1:3}}
{lalign 7:2._at: }{space 0}{lalign 14:issue_salience} = {res:{ralign 1:2}}
{lalign 7:}{space 0}{lalign 14:pid3_indy} = {res:{ralign 1:3}}
{lalign 7:3._at: }{space 0}{lalign 14:issue_salience} = {res:{ralign 1:3}}
{lalign 7:}{space 0}{lalign 14:pid3_indy} = {res:{ralign 1:3}}
{lalign 7:4._at: }{space 0}{lalign 14:issue_salience} = {res:{ralign 1:4}}
{lalign 7:}{space 0}{lalign 14:pid3_indy} = {res:{ralign 1:3}}
{lalign 7:5._at: }{space 0}{lalign 14:issue_salience} = {res:{ralign 1:5}}
{lalign 7:}{space 0}{lalign 14:pid3_indy} = {res:{ralign 1:3}}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}0.libtrump  {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}1.libtrump   {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .1649663{col 26}{space 2} .0568508{col 37}{space 1}    2.90{col 46}{space 3}0.009{col 54}{space 4} .0459762{col 67}{space 3} .2839565
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .1381581{col 26}{space 2} .0403152{col 37}{space 1}    3.43{col 46}{space 3}0.003{col 54}{space 4} .0537775{col 67}{space 3} .2225388
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .1113499{col 26}{space 2}  .027084{col 37}{space 1}    4.11{col 46}{space 3}0.001{col 54}{space 4} .0546626{col 67}{space 3} .1680373
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0845417{col 26}{space 2} .0235945{col 37}{space 1}    3.58{col 46}{space 3}0.002{col 54}{space 4} .0351578{col 67}{space 3} .1339256
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .0577335{col 26}{space 2} .0330877{col 37}{space 1}    1.74{col 46}{space 3}0.097{col 54}{space 4}-.0115199{col 67}{space 3} .1269869
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. 
. *Model 2 - include individual fixed effects - accounts for average level of caring for each person
. areg Support i.libtrump##c.issue_salience##i.pid3_indy if contrump == 0, cluster(Question) absorb(caseid)
{txt}note: 2.pid3_indy omitted because of collinearity
{txt}note: 3.pid3_indy omitted because of collinearity
{res}
{txt}{col 1}Linear regression, absorbing indicators{col 53}{lalign 17:Number of obs}{col 70} = {res}{ralign 6:13,577}
{txt}{col 1}Absorbed variable: {res:caseid}{col 53}{lalign 17:No. of categories}{col 70} = {res}{ralign 6:1,033}
{txt}{col 53}{lalign 17:F({res:9}, {res:19})}{col 70} = {res}{ralign 6:39.06}
{txt}{col 53}{lalign 17:Prob > F}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 53}{lalign 17:R-squared}{col 70} = {res}{ralign 6:0.3673}
{txt}{col 53}{lalign 17:Adj R-squared}{col 70} = {res}{ralign 6:0.3148}
{txt}{col 53}{lalign 17:Root MSE}{col 70} = {res}{ralign 6:0.7281}

{txt}{ralign 101:(Std. err. adjusted for {res:20} clusters in {res:Question})}
{hline 36}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 37}{c |}{col 49}    Robust
{col 1}                            Support{col 37}{c |} Coefficient{col 49}  std. err.{col 61}      t{col 69}   P>|t|{col 77}     [95% con{col 90}f. interval]
{hline 36}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 25}1.libtrump {c |}{col 37}{res}{space 2}-.1990999{col 49}{space 2} .0996274{col 60}{space 1}   -2.00{col 69}{space 3}0.060{col 77}{space 4}-.4076224{col 90}{space 3} .0094226
{txt}{space 21}issue_salience {c |}{col 37}{res}{space 2} .1248398{col 49}{space 2} .0255054{col 60}{space 1}    4.89{col 69}{space 3}0.000{col 77}{space 4} .0714564{col 90}{space 3} .1782232
{txt}{space 35} {c |}
{space 10}libtrump#c.issue_salience {c |}
{space 33}1  {c |}{col 37}{res}{space 2} .0388132{col 49}{space 2} .0203823{col 60}{space 1}    1.90{col 69}{space 3}0.072{col 77}{space 4}-.0038475{col 90}{space 3} .0814738
{txt}{space 35} {c |}
{space 26}pid3_indy {c |}
{space 24}Republican  {c |}{col 37}{res}{space 2}        0{col 49}{txt}  (omitted)
{space 23}Independent  {c |}{col 37}{res}{space 2}        0{col 49}{txt}  (omitted)
{space 35} {c |}
{space 17}libtrump#pid3_indy {c |}
{space 22}1#Republican  {c |}{col 37}{res}{space 2} .5228513{col 49}{space 2} .1390329{col 60}{space 1}    3.76{col 69}{space 3}0.001{col 77}{space 4} .2318521{col 90}{space 3} .8138505
{txt}{space 21}1#Independent  {c |}{col 37}{res}{space 2} .4616845{col 49}{space 2} .1433925{col 60}{space 1}    3.22{col 69}{space 3}0.005{col 77}{space 4} .1615604{col 90}{space 3} .7618085
{txt}{space 35} {c |}
{space 9}pid3_indy#c.issue_salience {c |}
{space 24}Republican  {c |}{col 37}{res}{space 2} -.018554{col 49}{space 2} .0559058{col 60}{space 1}   -0.33{col 69}{space 3}0.744{col 77}{space 4}-.1355663{col 90}{space 3} .0984583
{txt}{space 23}Independent  {c |}{col 37}{res}{space 2} -.002672{col 49}{space 2} .0424243{col 60}{space 1}   -0.06{col 69}{space 3}0.950{col 77}{space 4} -.091467{col 90}{space 3}  .086123
{txt}{space 35} {c |}
libtrump#pid3_indy#c.issue_salience {c |}
{space 22}1#Republican  {c |}{col 37}{res}{space 2}-.0568592{col 49}{space 2} .0326305{col 60}{space 1}   -1.74{col 69}{space 3}0.098{col 77}{space 4}-.1251555{col 90}{space 3} .0114372
{txt}{space 21}1#Independent  {c |}{col 37}{res}{space 2}-.0822905{col 49}{space 2} .0327812{col 60}{space 1}   -2.51{col 69}{space 3}0.021{col 77}{space 4}-.1509024{col 90}{space 3}-.0136786
{txt}{space 35} {c |}
{space 30}_cons {c |}{col 37}{res}{space 2}-.2499941{col 49}{space 2} .1134835{col 60}{space 1}   -2.20{col 69}{space 3}0.040{col 77}{space 4}-.4875177{col 90}{space 3}-.0124705
{txt}{hline 36}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Model 3 - include question fixed effects - accounts for aveage level of caring for each question
. areg Support i.libtrump##c.issue_salience##i.pid3_indy if contrump == 0, cluster(Question) absorb(Question)
{res}
{txt}{col 1}Linear regression, absorbing indicators{col 53}{lalign 17:Number of obs}{col 70} = {res}{ralign 6:13,577}
{txt}{col 1}Absorbed variable: {res:Question}{col 53}{lalign 17:No. of categories}{col 70} = {res}{ralign 6:20}
{txt}{col 53}{lalign 17:F({res:11}, {res:19})}{col 70} = {res}{ralign 6:119.46}
{txt}{col 53}{lalign 17:Prob > F}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 53}{lalign 17:R-squared}{col 70} = {res}{ralign 6:0.2533}
{txt}{col 53}{lalign 17:Adj R-squared}{col 70} = {res}{ralign 6:0.2516}
{txt}{col 53}{lalign 17:Root MSE}{col 70} = {res}{ralign 6:0.7609}

{txt}{ralign 101:(Std. err. adjusted for {res:20} clusters in {res:Question})}
{hline 36}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 37}{c |}{col 49}    Robust
{col 1}                            Support{col 37}{c |} Coefficient{col 49}  std. err.{col 61}      t{col 69}   P>|t|{col 77}     [95% con{col 90}f. interval]
{hline 36}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 25}1.libtrump {c |}{col 37}{res}{space 2}-.1503706{col 49}{space 2} .0827487{col 60}{space 1}   -1.82{col 69}{space 3}0.085{col 77}{space 4}-.3235657{col 90}{space 3} .0228245
{txt}{space 21}issue_salience {c |}{col 37}{res}{space 2}  .147423{col 49}{space 2} .0195921{col 60}{space 1}    7.52{col 69}{space 3}0.000{col 77}{space 4} .1064163{col 90}{space 3} .1884298
{txt}{space 35} {c |}
{space 10}libtrump#c.issue_salience {c |}
{space 33}1  {c |}{col 37}{res}{space 2} .0261394{col 49}{space 2}   .01887{col 60}{space 1}    1.39{col 69}{space 3}0.182{col 77}{space 4} -.013356{col 90}{space 3} .0656349
{txt}{space 35} {c |}
{space 26}pid3_indy {c |}
{space 24}Republican  {c |}{col 37}{res}{space 2}-.6652787{col 49}{space 2} .1628521{col 60}{space 1}   -4.09{col 69}{space 3}0.001{col 77}{space 4}-1.006132{col 90}{space 3}-.3244253
{txt}{space 23}Independent  {c |}{col 37}{res}{space 2}-.5181138{col 49}{space 2} .1838229{col 60}{space 1}   -2.82{col 69}{space 3}0.011{col 77}{space 4}-.9028596{col 90}{space 3}-.1333681
{txt}{space 35} {c |}
{space 17}libtrump#pid3_indy {c |}
{space 22}1#Republican  {c |}{col 37}{res}{space 2}  .474937{col 49}{space 2} .1312714{col 60}{space 1}    3.62{col 69}{space 3}0.002{col 77}{space 4} .2001829{col 90}{space 3} .7496911
{txt}{space 21}1#Independent  {c |}{col 37}{res}{space 2} .3736179{col 49}{space 2} .1326104{col 60}{space 1}    2.82{col 69}{space 3}0.011{col 77}{space 4} .0960611{col 90}{space 3} .6511746
{txt}{space 35} {c |}
{space 9}pid3_indy#c.issue_salience {c |}
{space 24}Republican  {c |}{col 37}{res}{space 2}-.0491943{col 49}{space 2} .0458945{col 60}{space 1}   -1.07{col 69}{space 3}0.297{col 77}{space 4}-.1452525{col 90}{space 3} .0468639
{txt}{space 23}Independent  {c |}{col 37}{res}{space 2} .0179495{col 49}{space 2} .0449909{col 60}{space 1}    0.40{col 69}{space 3}0.694{col 77}{space 4}-.0762176{col 90}{space 3} .1121166
{txt}{space 35} {c |}
libtrump#pid3_indy#c.issue_salience {c |}
{space 22}1#Republican  {c |}{col 37}{res}{space 2} -.049527{col 49}{space 2} .0329754{col 60}{space 1}   -1.50{col 69}{space 3}0.150{col 77}{space 4}-.1185454{col 90}{space 3} .0194913
{txt}{space 21}1#Independent  {c |}{col 37}{res}{space 2}-.0613468{col 49}{space 2} .0340938{col 60}{space 1}   -1.80{col 69}{space 3}0.088{col 77}{space 4} -.132706{col 90}{space 3} .0100124
{txt}{space 35} {c |}
{space 30}_cons {c |}{col 37}{res}{space 2}  .032839{col 49}{space 2} .0716364{col 60}{space 1}    0.46{col 69}{space 3}0.652{col 77}{space 4}-.1170978{col 90}{space 3} .1827758
{txt}{hline 36}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Model 4 - control for mean support rather than fixed effect
. regress Support i.libtrump##c.issue_salience##i.pid3_indy salience_ave if contrump == 0, cluster(Question)

{txt}Linear regression                               Number of obs     = {res}    13,577
                                                {txt}F(12, 19)         =  {res}   213.04
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1694
                                                {txt}Root MSE          =    {res} .80194

{txt}{ralign 101:(Std. err. adjusted for {res:20} clusters in {res:Question})}
{hline 36}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 37}{c |}{col 49}    Robust
{col 1}                            Support{col 37}{c |} Coefficient{col 49}  std. err.{col 61}      t{col 69}   P>|t|{col 77}     [95% con{col 90}f. interval]
{hline 36}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 25}1.libtrump {c |}{col 37}{res}{space 2}-.1880711{col 49}{space 2} .0930748{col 60}{space 1}   -2.02{col 69}{space 3}0.058{col 77}{space 4}-.3828788{col 90}{space 3} .0067366
{txt}{space 21}issue_salience {c |}{col 37}{res}{space 2} .1219024{col 49}{space 2} .0204826{col 60}{space 1}    5.95{col 69}{space 3}0.000{col 77}{space 4} .0790319{col 90}{space 3} .1647729
{txt}{space 35} {c |}
{space 10}libtrump#c.issue_salience {c |}
{space 33}1  {c |}{col 37}{res}{space 2} .0356111{col 49}{space 2} .0202517{col 60}{space 1}    1.76{col 69}{space 3}0.095{col 77}{space 4}-.0067762{col 90}{space 3} .0779983
{txt}{space 35} {c |}
{space 26}pid3_indy {c |}
{space 24}Republican  {c |}{col 37}{res}{space 2}-.6789425{col 49}{space 2}  .194252{col 60}{space 1}   -3.50{col 69}{space 3}0.002{col 77}{space 4}-1.085517{col 90}{space 3}-.2723684
{txt}{space 23}Independent  {c |}{col 37}{res}{space 2}-.4892023{col 49}{space 2} .2129671{col 60}{space 1}   -2.30{col 69}{space 3}0.033{col 77}{space 4}-.9349476{col 90}{space 3} -.043457
{txt}{space 35} {c |}
{space 17}libtrump#pid3_indy {c |}
{space 22}1#Republican  {c |}{col 37}{res}{space 2} .5276139{col 49}{space 2} .1439197{col 60}{space 1}    3.67{col 69}{space 3}0.002{col 77}{space 4} .2263865{col 90}{space 3} .8288412
{txt}{space 21}1#Independent  {c |}{col 37}{res}{space 2} .3717197{col 49}{space 2}  .129629{col 60}{space 1}    2.87{col 69}{space 3}0.010{col 77}{space 4} .1004031{col 90}{space 3} .6430362
{txt}{space 35} {c |}
{space 9}pid3_indy#c.issue_salience {c |}
{space 24}Republican  {c |}{col 37}{res}{space 2}-.0348357{col 49}{space 2}  .049574{col 60}{space 1}   -0.70{col 69}{space 3}0.491{col 77}{space 4}-.1385952{col 90}{space 3} .0689239
{txt}{space 23}Independent  {c |}{col 37}{res}{space 2}  .019752{col 49}{space 2} .0492492{col 60}{space 1}    0.40{col 69}{space 3}0.693{col 77}{space 4}-.0833277{col 90}{space 3} .1228317
{txt}{space 35} {c |}
libtrump#pid3_indy#c.issue_salience {c |}
{space 22}1#Republican  {c |}{col 37}{res}{space 2}-.0594369{col 49}{space 2} .0360534{col 60}{space 1}   -1.65{col 69}{space 3}0.116{col 77}{space 4}-.1348976{col 90}{space 3} .0160237
{txt}{space 21}1#Independent  {c |}{col 37}{res}{space 2}-.0613924{col 49}{space 2} .0323228{col 60}{space 1}   -1.90{col 69}{space 3}0.073{col 77}{space 4}-.1290448{col 90}{space 3} .0062599
{txt}{space 35} {c |}
{space 23}salience_ave {c |}{col 37}{res}{space 2} .1424953{col 49}{space 2}  .044269{col 60}{space 1}    3.22{col 69}{space 3}0.005{col 77}{space 4} .0498391{col 90}{space 3} .2351514
{txt}{space 30}_cons {c |}{col 37}{res}{space 2}-.4851783{col 49}{space 2} .1549686{col 60}{space 1}   -3.13{col 69}{space 3}0.006{col 77}{space 4}-.8095314{col 90}{space 3}-.1608252
{txt}{hline 36}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. *Model 5 - control for mean support and include question fixed effect
. areg Support i.libtrump##c.issue_salience##i.pid3_indy salience_ave if contrump == 0, cluster(caseid) absorb(Question)
{res}
{txt}{col 1}Linear regression, absorbing indicators{col 53}{lalign 17:Number of obs}{col 70} = {res}{ralign 6:13,577}
{txt}{col 1}Absorbed variable: {res:Question}{col 53}{lalign 17:No. of categories}{col 70} = {res}{ralign 6:20}
{txt}{col 53}{lalign 17:F({res:12}, {res:1032})}{col 70} = {res}{ralign 6:120.28}
{txt}{col 53}{lalign 17:Prob > F}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 53}{lalign 17:R-squared}{col 70} = {res}{ralign 6:0.2609}
{txt}{col 53}{lalign 17:Adj R-squared}{col 70} = {res}{ralign 6:0.2592}
{txt}{col 53}{lalign 17:Root MSE}{col 70} = {res}{ralign 6:0.7570}

{txt}{ralign 101:(Std. err. adjusted for {res:1,033} clusters in {res:caseid})}
{hline 36}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 37}{c |}{col 49}    Robust
{col 1}                            Support{col 37}{c |} Coefficient{col 49}  std. err.{col 61}      t{col 69}   P>|t|{col 77}     [95% con{col 90}f. interval]
{hline 36}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 25}1.libtrump {c |}{col 37}{res}{space 2} -.133891{col 49}{space 2} .1151064{col 60}{space 1}   -1.16{col 69}{space 3}0.245{col 77}{space 4}-.3597604{col 90}{space 3} .0919784
{txt}{space 21}issue_salience {c |}{col 37}{res}{space 2} .0816211{col 49}{space 2} .0198795{col 60}{space 1}    4.11{col 69}{space 3}0.000{col 77}{space 4} .0426122{col 90}{space 3} .1206299
{txt}{space 35} {c |}
{space 10}libtrump#c.issue_salience {c |}
{space 33}1  {c |}{col 37}{res}{space 2} .0224857{col 49}{space 2}  .024883{col 60}{space 1}    0.90{col 69}{space 3}0.366{col 77}{space 4}-.0263413{col 90}{space 3} .0713127
{txt}{space 35} {c |}
{space 26}pid3_indy {c |}
{space 24}Republican  {c |}{col 37}{res}{space 2}-.6973771{col 49}{space 2} .1108798{col 60}{space 1}   -6.29{col 69}{space 3}0.000{col 77}{space 4}-.9149527{col 90}{space 3}-.4798016
{txt}{space 23}Independent  {c |}{col 37}{res}{space 2} -.532487{col 49}{space 2} .1180234{col 60}{space 1}   -4.51{col 69}{space 3}0.000{col 77}{space 4}-.7640803{col 90}{space 3}-.3008938
{txt}{space 35} {c |}
{space 17}libtrump#pid3_indy {c |}
{space 22}1#Republican  {c |}{col 37}{res}{space 2} .4580762{col 49}{space 2} .1479901{col 60}{space 1}    3.10{col 69}{space 3}0.002{col 77}{space 4} .1676804{col 90}{space 3}  .748472
{txt}{space 21}1#Independent  {c |}{col 37}{res}{space 2} .3467284{col 49}{space 2} .1506916{col 60}{space 1}    2.30{col 69}{space 3}0.022{col 77}{space 4} .0510315{col 90}{space 3} .6424254
{txt}{space 35} {c |}
{space 9}pid3_indy#c.issue_salience {c |}
{space 24}Republican  {c |}{col 37}{res}{space 2}-.0291477{col 49}{space 2} .0256132{col 60}{space 1}   -1.14{col 69}{space 3}0.255{col 77}{space 4}-.0794075{col 90}{space 3} .0211121
{txt}{space 23}Independent  {c |}{col 37}{res}{space 2} .0296926{col 49}{space 2}  .026989{col 60}{space 1}    1.10{col 69}{space 3}0.272{col 77}{space 4} -.023267{col 90}{space 3} .0826523
{txt}{space 35} {c |}
libtrump#pid3_indy#c.issue_salience {c |}
{space 22}1#Republican  {c |}{col 37}{res}{space 2}-.0454589{col 49}{space 2} .0338403{col 60}{space 1}   -1.34{col 69}{space 3}0.179{col 77}{space 4}-.1118626{col 90}{space 3} .0209449
{txt}{space 21}1#Independent  {c |}{col 37}{res}{space 2}-.0564194{col 49}{space 2} .0337215{col 60}{space 1}   -1.67{col 69}{space 3}0.095{col 77}{space 4}  -.12259{col 90}{space 3} .0097512
{txt}{space 35} {c |}
{space 23}salience_ave {c |}{col 37}{res}{space 2} .1795863{col 49}{space 2} .0239108{col 60}{space 1}    7.51{col 69}{space 3}0.000{col 77}{space 4}  .132667{col 90}{space 3} .2265056
{txt}{space 30}_cons {c |}{col 37}{res}{space 2}-.4690803{col 49}{space 2} .1126384{col 60}{space 1}   -4.16{col 69}{space 3}0.000{col 77}{space 4}-.6901067{col 90}{space 3} -.248054
{txt}{hline 36}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Model 6 - include question and individual fixed effect
. areg Support i.Question i.libtrump##c.issue_salience##i.pid3_indy if contrump == 0, cluster(Question) absorb(caseid)
{txt}note: 2.pid3_indy omitted because of collinearity
{txt}note: 3.pid3_indy omitted because of collinearity
{res}
{txt}{col 1}Linear regression, absorbing indicators{col 53}{lalign 17:Number of obs}{col 70} = {res}{ralign 6:13,577}
{txt}{col 1}Absorbed variable: {res:caseid}{col 53}{lalign 17:No. of categories}{col 70} = {res}{ralign 6:1,033}
{txt}{col 53}{lalign 17:{help j_robustsingular##|_new:F(19, 19)}}{col 70} = {res}{ralign 6:.}
{txt}{col 53}{lalign 17:Prob > F}{col 70} = {res}{ralign 6:.}
{txt}{col 53}{lalign 17:R-squared}{col 70} = {res}{ralign 6:0.4558}
{txt}{col 53}{lalign 17:Adj R-squared}{col 70} = {res}{ralign 6:0.4098}
{txt}{col 53}{lalign 17:Root MSE}{col 70} = {res}{ralign 6:0.6755}

{txt}{ralign 101:(Std. err. adjusted for {res:20} clusters in {res:Question})}
{hline 36}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 37}{c |}{col 49}    Robust
{col 1}                            Support{col 37}{c |} Coefficient{col 49}  std. err.{col 61}      t{col 69}   P>|t|{col 77}     [95% con{col 90}f. interval]
{hline 36}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 27}Question {c |}
{space 20}"Tax Increase"  {c |}{col 37}{res}{space 2} .0464883{col 49}{space 2} .0152042{col 60}{space 1}    3.06{col 69}{space 3}0.006{col 77}{space 4} .0146655{col 90}{space 3} .0783111
{txt}{space 24}"Abortion"  {c |}{col 37}{res}{space 2} .0710952{col 49}{space 2} .0091367{col 60}{space 1}    7.78{col 69}{space 3}0.000{col 77}{space 4} .0519719{col 90}{space 3} .0902185
{txt}{space 21}"Immigration"  {c |}{col 37}{res}{space 2}-.3177569{col 49}{space 2}  .013967{col 60}{space 1}  -22.75{col 69}{space 3}0.000{col 77}{space 4}-.3469901{col 90}{space 3}-.2885237
{txt}{space 20} "School Guns"  {c |}{col 37}{res}{space 2}-.2596008{col 49}{space 2} .0127537{col 60}{space 1}  -20.35{col 69}{space 3}0.000{col 77}{space 4}-.2862946{col 90}{space 3} -.232907
{txt}{space 21}"Health Care"  {c |}{col 37}{res}{space 2}-.2338042{col 49}{space 2} .0138108{col 60}{space 1}  -16.93{col 69}{space 3}0.000{col 77}{space 4}-.2627104{col 90}{space 3}-.2048979
{txt}{space 17}"Guns Background"  {c |}{col 37}{res}{space 2} .3236233{col 49}{space 2} .0133072{col 60}{space 1}   24.32{col 69}{space 3}0.000{col 77}{space 4} .2957711{col 90}{space 3} .3514755
{txt}{space 18}"Climate Change"  {c |}{col 37}{res}{space 2}-.1038278{col 49}{space 2} .0078902{col 60}{space 1}  -13.16{col 69}{space 3}0.000{col 77}{space 4} -.120342{col 90}{space 3}-.0873135
{txt}{space 14}"Planned Parenthood"  {c |}{col 37}{res}{space 2}-.3132295{col 49}{space 2} .0078619{col 60}{space 1}  -39.84{col 69}{space 3}0.000{col 77}{space 4}-.3296847{col 90}{space 3}-.2967743
{txt}{space 21}"North Korea"  {c |}{col 37}{res}{space 2}-.4175774{col 49}{space 2} .0100989{col 60}{space 1}  -41.35{col 69}{space 3}0.000{col 77}{space 4}-.4387146{col 90}{space 3}-.3964402
{txt}{space 20}"China Tarrif"  {c |}{col 37}{res}{space 2}-.4216334{col 49}{space 2} .0106109{col 60}{space 1}  -39.74{col 69}{space 3}0.000{col 77}{space 4}-.4438422{col 90}{space 3}-.3994245
{txt}{space 20}"Steel Tarrif"  {c |}{col 37}{res}{space 2}-.3323611{col 49}{space 2}  .011972{col 60}{space 1}  -27.76{col 69}{space 3}0.000{col 77}{space 4}-.3574188{col 90}{space 3}-.3073035
{txt}{space 18}"Remove Mueller"  {c |}{col 37}{res}{space 2}-.1707693{col 49}{space 2} .0099096{col 60}{space 1}  -17.23{col 69}{space 3}0.000{col 77}{space 4}-.1915103{col 90}{space 3}-.1500282
{txt}{space 20}"Cut Medicare"  {c |}{col 37}{res}{space 2} .3021183{col 49}{space 2} .0135748{col 60}{space 1}   22.26{col 69}{space 3}0.000{col 77}{space 4}  .273706{col 90}{space 3} .3305307
{txt}{space 21}"Drug Prices"  {c |}{col 37}{res}{space 2} .2259241{col 49}{space 2} .0127049{col 60}{space 1}   17.78{col 69}{space 3}0.000{col 77}{space 4} .1993323{col 90}{space 3} .2525158
{txt}{space 21}"Food Stamps"  {c |}{col 37}{res}{space 2}-.6179052{col 49}{space 2} .0079865{col 60}{space 1}  -77.37{col 69}{space 3}0.000{col 77}{space 4} -.634621{col 90}{space 3}-.6011893
{txt}{space 20}"Oil Drilling"  {c |}{col 37}{res}{space 2}-.4272336{col 49}{space 2} .0076016{col 60}{space 1}  -56.20{col 69}{space 3}0.000{col 77}{space 4}-.4431439{col 90}{space 3}-.4113234
{txt}{space 20}"Comey Unfair"  {c |}{col 37}{res}{space 2}-.5028411{col 49}{space 2} .0093846{col 60}{space 1}  -53.58{col 69}{space 3}0.000{col 77}{space 4}-.5224833{col 90}{space 3}-.4831989
{txt}{space 21}"Puerto Rico"  {c |}{col 37}{res}{space 2} .0779107{col 49}{space 2} .0082345{col 60}{space 1}    9.46{col 69}{space 3}0.000{col 77}{space 4} .0606758{col 90}{space 3} .0951456
{txt}{space 20}"Support DACA"  {c |}{col 37}{res}{space 2} -.325872{col 49}{space 2} .0159832{col 60}{space 1}  -20.39{col 69}{space 3}0.000{col 77}{space 4}-.3593252{col 90}{space 3}-.2924188
{txt}{space 35} {c |}
{space 25}1.libtrump {c |}{col 37}{res}{space 2}-.1425241{col 49}{space 2} .0797859{col 60}{space 1}   -1.79{col 69}{space 3}0.090{col 77}{space 4} -.309518{col 90}{space 3} .0244698
{txt}{space 21}issue_salience {c |}{col 37}{res}{space 2} .0743146{col 49}{space 2} .0234199{col 60}{space 1}    3.17{col 69}{space 3}0.005{col 77}{space 4} .0252962{col 90}{space 3}  .123333
{txt}{space 35} {c |}
{space 10}libtrump#c.issue_salience {c |}
{space 33}1  {c |}{col 37}{res}{space 2} .0252992{col 49}{space 2} .0173545{col 60}{space 1}    1.46{col 69}{space 3}0.161{col 77}{space 4}-.0110241{col 90}{space 3} .0616226
{txt}{space 35} {c |}
{space 26}pid3_indy {c |}
{space 24}Republican  {c |}{col 37}{res}{space 2}        0{col 49}{txt}  (omitted)
{space 23}Independent  {c |}{col 37}{res}{space 2}        0{col 49}{txt}  (omitted)
{space 35} {c |}
{space 17}libtrump#pid3_indy {c |}
{space 22}1#Republican  {c |}{col 37}{res}{space 2} .4557833{col 49}{space 2} .1289511{col 60}{space 1}    3.53{col 69}{space 3}0.002{col 77}{space 4} .1858855{col 90}{space 3} .7256812
{txt}{space 21}1#Independent  {c |}{col 37}{res}{space 2}  .434114{col 49}{space 2} .1342494{col 60}{space 1}    3.23{col 69}{space 3}0.004{col 77}{space 4} .1531268{col 90}{space 3} .7151012
{txt}{space 35} {c |}
{space 9}pid3_indy#c.issue_salience {c |}
{space 24}Republican  {c |}{col 37}{res}{space 2} -.000965{col 49}{space 2} .0452958{col 60}{space 1}   -0.02{col 69}{space 3}0.983{col 77}{space 4}-.0957702{col 90}{space 3} .0938402
{txt}{space 23}Independent  {c |}{col 37}{res}{space 2} .0202016{col 49}{space 2} .0345955{col 60}{space 1}    0.58{col 69}{space 3}0.566{col 77}{space 4}-.0522076{col 90}{space 3} .0926109
{txt}{space 35} {c |}
libtrump#pid3_indy#c.issue_salience {c |}
{space 22}1#Republican  {c |}{col 37}{res}{space 2}-.0433479{col 49}{space 2} .0291623{col 60}{space 1}   -1.49{col 69}{space 3}0.154{col 77}{space 4}-.1043853{col 90}{space 3} .0176896
{txt}{space 21}1#Independent  {c |}{col 37}{res}{space 2}-.0768661{col 49}{space 2} .0328256{col 60}{space 1}   -2.34{col 69}{space 3}0.030{col 77}{space 4}-.1455708{col 90}{space 3}-.0081614
{txt}{space 35} {c |}
{space 30}_cons {c |}{col 37}{res}{space 2}  .079755{col 49}{space 2} .0642901{col 60}{space 1}    1.24{col 69}{space 3}0.230{col 77}{space 4}-.0548057{col 90}{space 3} .2143156
{txt}{hline 36}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Model 7 - include control variables
. regress Support i.libtrump##c.issue_salience##i.pid3_indy knowledge party_strength trump_favor ideo5b if contrump == 0, cluster(Question)

{txt}Linear regression                               Number of obs     = {res}    12,566
                                                {txt}F(15, 19)         =  {res}   169.99
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2655
                                                {txt}Root MSE          =    {res} .76291

{txt}{ralign 101:(Std. err. adjusted for {res:20} clusters in {res:Question})}
{hline 36}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 37}{c |}{col 49}    Robust
{col 1}                            Support{col 37}{c |} Coefficient{col 49}  std. err.{col 61}      t{col 69}   P>|t|{col 77}     [95% con{col 90}f. interval]
{hline 36}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 25}1.libtrump {c |}{col 37}{res}{space 2}-.2160539{col 49}{space 2} .1031221{col 60}{space 1}   -2.10{col 69}{space 3}0.050{col 77}{space 4} -.431891{col 90}{space 3}-.0002169
{txt}{space 21}issue_salience {c |}{col 37}{res}{space 2} .1351404{col 49}{space 2} .0135681{col 60}{space 1}    9.96{col 69}{space 3}0.000{col 77}{space 4}  .106742{col 90}{space 3} .1635387
{txt}{space 35} {c |}
{space 10}libtrump#c.issue_salience {c |}
{space 33}1  {c |}{col 37}{res}{space 2} .0417468{col 49}{space 2} .0207977{col 60}{space 1}    2.01{col 69}{space 3}0.059{col 77}{space 4}-.0017834{col 90}{space 3} .0852769
{txt}{space 35} {c |}
{space 26}pid3_indy {c |}
{space 24}Republican  {c |}{col 37}{res}{space 2}-.1536521{col 49}{space 2} .1789675{col 60}{space 1}   -0.86{col 69}{space 3}0.401{col 77}{space 4}-.5282353{col 90}{space 3} .2209311
{txt}{space 23}Independent  {c |}{col 37}{res}{space 2}-.0440146{col 49}{space 2} .1583561{col 60}{space 1}   -0.28{col 69}{space 3}0.784{col 77}{space 4}-.3754578{col 90}{space 3} .2874285
{txt}{space 35} {c |}
{space 17}libtrump#pid3_indy {c |}
{space 22}1#Republican  {c |}{col 37}{res}{space 2} .5787765{col 49}{space 2} .1566063{col 60}{space 1}    3.70{col 69}{space 3}0.002{col 77}{space 4} .2509958{col 90}{space 3} .9065572
{txt}{space 21}1#Independent  {c |}{col 37}{res}{space 2}  .453279{col 49}{space 2} .1382509{col 60}{space 1}    3.28{col 69}{space 3}0.004{col 77}{space 4} .1639165{col 90}{space 3} .7426415
{txt}{space 35} {c |}
{space 9}pid3_indy#c.issue_salience {c |}
{space 24}Republican  {c |}{col 37}{res}{space 2}-.0100671{col 49}{space 2} .0436477{col 60}{space 1}   -0.23{col 69}{space 3}0.820{col 77}{space 4}-.1014229{col 90}{space 3} .0812886
{txt}{space 23}Independent  {c |}{col 37}{res}{space 2}-.0113855{col 49}{space 2} .0354055{col 60}{space 1}   -0.32{col 69}{space 3}0.751{col 77}{space 4}-.0854901{col 90}{space 3} .0627191
{txt}{space 35} {c |}
libtrump#pid3_indy#c.issue_salience {c |}
{space 22}1#Republican  {c |}{col 37}{res}{space 2}-.0695986{col 49}{space 2} .0363775{col 60}{space 1}   -1.91{col 69}{space 3}0.071{col 77}{space 4}-.1457376{col 90}{space 3} .0065403
{txt}{space 21}1#Independent  {c |}{col 37}{res}{space 2}  -.07068{col 49}{space 2} .0317123{col 60}{space 1}   -2.23{col 69}{space 3}0.038{col 77}{space 4}-.1370545{col 90}{space 3}-.0043055
{txt}{space 35} {c |}
{space 26}knowledge {c |}{col 37}{res}{space 2}-.0115564{col 49}{space 2} .0082393{col 60}{space 1}   -1.40{col 69}{space 3}0.177{col 77}{space 4}-.0288014{col 90}{space 3} .0056886
{txt}{space 21}party_strength {c |}{col 37}{res}{space 2} .0198944{col 49}{space 2} .0188859{col 60}{space 1}    1.05{col 69}{space 3}0.305{col 77}{space 4}-.0196343{col 90}{space 3} .0594231
{txt}{space 24}trump_favor {c |}{col 37}{res}{space 2}-.2232206{col 49}{space 2} .0212247{col 60}{space 1}  -10.52{col 69}{space 3}0.000{col 77}{space 4}-.2676443{col 90}{space 3}-.1787969
{txt}{space 29}ideo5b {c |}{col 37}{res}{space 2}-.1057846{col 49}{space 2} .0133952{col 60}{space 1}   -7.90{col 69}{space 3}0.000{col 77}{space 4}-.1338212{col 90}{space 3}-.0777481
{txt}{space 30}_cons {c |}{col 37}{res}{space 2} .5914303{col 49}{space 2} .1421082{col 60}{space 1}    4.16{col 69}{space 3}0.001{col 77}{space 4} .2939945{col 90}{space 3} .8888662
{txt}{hline 36}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. *Model 8 - include control variables with question fixed effects
. regress Support i.libtrump##c.issue_salience##i.pid3_indy knowledge party_strength trump_favor ideo5b if contrump == 0, cluster(Question) absorb(Question)

{txt}Linear regression, absorbing indicators         Number of obs     = {res}    12,566
                                                {txt}{help j_robustsingular:F(14, 19) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.3564
                                                {txt}Adj R-squared     = {res}    0.3547
                                                {txt}Root MSE          =    {res} .71466

{txt}{ralign 101:(Std. err. adjusted for {res:20} clusters in {res:Question})}
{hline 36}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 37}{c |}{col 49}    Robust
{col 1}                            Support{col 37}{c |} Coefficient{col 49}  std. err.{col 61}      t{col 69}   P>|t|{col 77}     [95% con{col 90}f. interval]
{hline 36}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 25}1.libtrump {c |}{col 37}{res}{space 2}-.1579262{col 49}{space 2} .1031026{col 60}{space 1}   -1.53{col 69}{space 3}0.142{col 77}{space 4}-.3737224{col 90}{space 3}   .05787
{txt}{space 21}issue_salience {c |}{col 37}{res}{space 2} .1054599{col 49}{space 2} .0193355{col 60}{space 1}    5.45{col 69}{space 3}0.000{col 77}{space 4} .0649903{col 90}{space 3} .1459295
{txt}{space 35} {c |}
{space 10}libtrump#c.issue_salience {c |}
{space 33}1  {c |}{col 37}{res}{space 2} .0283357{col 49}{space 2} .0220522{col 60}{space 1}    1.28{col 69}{space 3}0.214{col 77}{space 4}  -.01782{col 90}{space 3} .0744915
{txt}{space 35} {c |}
{space 26}pid3_indy {c |}
{space 24}Republican  {c |}{col 37}{res}{space 2}-.1787137{col 49}{space 2} .1692553{col 60}{space 1}   -1.06{col 69}{space 3}0.304{col 77}{space 4}-.5329692{col 90}{space 3} .1755418
{txt}{space 23}Independent  {c |}{col 37}{res}{space 2}-.0971738{col 49}{space 2} .1375993{col 60}{space 1}   -0.71{col 69}{space 3}0.489{col 77}{space 4}-.3851724{col 90}{space 3} .1908249
{txt}{space 35} {c |}
{space 17}libtrump#pid3_indy {c |}
{space 22}1#Republican  {c |}{col 37}{res}{space 2} .5035875{col 49}{space 2}  .160163{col 60}{space 1}    3.14{col 69}{space 3}0.005{col 77}{space 4} .1683625{col 90}{space 3} .8388125
{txt}{space 21}1#Independent  {c |}{col 37}{res}{space 2} .4460304{col 49}{space 2} .1447002{col 60}{space 1}    3.08{col 69}{space 3}0.006{col 77}{space 4} .1431695{col 90}{space 3} .7488914
{txt}{space 35} {c |}
{space 9}pid3_indy#c.issue_salience {c |}
{space 24}Republican  {c |}{col 37}{res}{space 2}-.0033636{col 49}{space 2}  .040038{col 60}{space 1}   -0.08{col 69}{space 3}0.934{col 77}{space 4} -.087164{col 90}{space 3} .0804368
{txt}{space 23}Independent  {c |}{col 37}{res}{space 2} .0030133{col 49}{space 2}  .030049{col 60}{space 1}    0.10{col 69}{space 3}0.921{col 77}{space 4}-.0598799{col 90}{space 3} .0659065
{txt}{space 35} {c |}
libtrump#pid3_indy#c.issue_salience {c |}
{space 22}1#Republican  {c |}{col 37}{res}{space 2}-.0553874{col 49}{space 2}  .036287{col 60}{space 1}   -1.53{col 69}{space 3}0.143{col 77}{space 4}-.1313369{col 90}{space 3} .0205621
{txt}{space 21}1#Independent  {c |}{col 37}{res}{space 2}-.0699599{col 49}{space 2}  .034979{col 60}{space 1}   -2.00{col 69}{space 3}0.060{col 77}{space 4}-.1431719{col 90}{space 3}  .003252
{txt}{space 35} {c |}
{space 26}knowledge {c |}{col 37}{res}{space 2}-.0101956{col 49}{space 2} .0084635{col 60}{space 1}   -1.20{col 69}{space 3}0.243{col 77}{space 4}  -.02791{col 90}{space 3} .0075187
{txt}{space 21}party_strength {c |}{col 37}{res}{space 2} .0269139{col 49}{space 2} .0179614{col 60}{space 1}    1.50{col 69}{space 3}0.150{col 77}{space 4}-.0106798{col 90}{space 3} .0645076
{txt}{space 24}trump_favor {c |}{col 37}{res}{space 2}-.2253788{col 49}{space 2} .0207844{col 60}{space 1}  -10.84{col 69}{space 3}0.000{col 77}{space 4} -.268881{col 90}{space 3}-.1818765
{txt}{space 29}ideo5b {c |}{col 37}{res}{space 2}-.1072539{col 49}{space 2} .0125912{col 60}{space 1}   -8.52{col 69}{space 3}0.000{col 77}{space 4}-.1336076{col 90}{space 3}-.0809003
{txt}{space 30}_cons {c |}{col 37}{res}{space 2} .6963502{col 49}{space 2} .1195231{col 60}{space 1}    5.83{col 69}{space 3}0.000{col 77}{space 4} .4461856{col 90}{space 3} .9465149
{txt}{hline 36}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. 
. **********************************************
. *TABLE A4: Liberal Trump Treatment by Party Identification
. 
. *Conservative Treatment
. *Model 1 - all together with pid3
. regress Support i.contrump##c.issue_salience##i.pid3_indy if libtrump == 0, cluster(caseid)

{txt}Linear regression                               Number of obs     = {res}    13,685
                                                {txt}F(11, 1032)       =  {res}   200.95
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2202
                                                {txt}Root MSE          =    {res} .80152

{txt}{ralign 101:(Std. err. adjusted for {res:1,033} clusters in {res:caseid})}
{hline 36}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 37}{c |}{col 49}    Robust
{col 1}                            Support{col 37}{c |} Coefficient{col 49}  std. err.{col 61}      t{col 69}   P>|t|{col 77}     [95% con{col 90}f. interval]
{hline 36}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 25}1.contrump {c |}{col 37}{res}{space 2}-.2191968{col 49}{space 2} .1240958{col 60}{space 1}   -1.77{col 69}{space 3}0.078{col 77}{space 4}-.4627058{col 90}{space 3} .0243122
{txt}{space 21}issue_salience {c |}{col 37}{res}{space 2} .1718273{col 49}{space 2} .0183988{col 60}{space 1}    9.34{col 69}{space 3}0.000{col 77}{space 4} .1357239{col 90}{space 3} .2079307
{txt}{space 35} {c |}
{space 10}contrump#c.issue_salience {c |}
{space 33}1  {c |}{col 37}{res}{space 2}  .045136{col 49}{space 2} .0263559{col 60}{space 1}    1.71{col 69}{space 3}0.087{col 77}{space 4}-.0065813{col 90}{space 3} .0968533
{txt}{space 35} {c |}
{space 26}pid3_indy {c |}
{space 24}Republican  {c |}{col 37}{res}{space 2}-.6481916{col 49}{space 2} .1090105{col 60}{space 1}   -5.95{col 69}{space 3}0.000{col 77}{space 4}-.8620992{col 90}{space 3} -.434284
{txt}{space 23}Independent  {c |}{col 37}{res}{space 2}-.4733826{col 49}{space 2}  .118502{col 60}{space 1}   -3.99{col 69}{space 3}0.000{col 77}{space 4}-.7059151{col 90}{space 3}-.2408501
{txt}{space 35} {c |}
{space 17}contrump#pid3_indy {c |}
{space 22}1#Republican  {c |}{col 37}{res}{space 2} .1906576{col 49}{space 2} .1544898{col 60}{space 1}    1.23{col 69}{space 3}0.217{col 77}{space 4}-.1124923{col 90}{space 3} .4938075
{txt}{space 21}1#Independent  {c |}{col 37}{res}{space 2} .1686738{col 49}{space 2} .1654637{col 60}{space 1}    1.02{col 69}{space 3}0.308{col 77}{space 4}-.1560098{col 90}{space 3} .4933574
{txt}{space 35} {c |}
{space 9}pid3_indy#c.issue_salience {c |}
{space 24}Republican  {c |}{col 37}{res}{space 2}-.0521868{col 49}{space 2} .0249743{col 60}{space 1}   -2.09{col 69}{space 3}0.037{col 77}{space 4}-.1011931{col 90}{space 3}-.0031805
{txt}{space 23}Independent  {c |}{col 37}{res}{space 2} .0093313{col 49}{space 2} .0268542{col 60}{space 1}    0.35{col 69}{space 3}0.728{col 77}{space 4}-.0433638{col 90}{space 3} .0620264
{txt}{space 35} {c |}
contrump#pid3_indy#c.issue_salience {c |}
{space 22}1#Republican  {c |}{col 37}{res}{space 2}-.0763239{col 49}{space 2} .0354335{col 60}{space 1}   -2.15{col 69}{space 3}0.031{col 77}{space 4}-.1458538{col 90}{space 3}-.0067939
{txt}{space 21}1#Independent  {c |}{col 37}{res}{space 2}-.0511421{col 49}{space 2} .0364571{col 60}{space 1}   -1.40{col 69}{space 3}0.161{col 77}{space 4}-.1226806{col 90}{space 3} .0203965
{txt}{space 35} {c |}
{space 30}_cons {c |}{col 37}{res}{space 2}-.0771967{col 49}{space 2} .0864403{col 60}{space 1}   -0.89{col 69}{space 3}0.372{col 77}{space 4}-.2468156{col 90}{space 3} .0924222
{txt}{hline 36}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. *these margins values get entered into .cvs file "party_interaction_models_margins_conservative.csv"
. *democrat
. margins, dydx(contrump) at(issue_salience=(1(1)5) pid3_indy=(1))
{res}
{txt}{col 1}Conditional marginal effects{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:13,685}
{txt}{col 1}Model VCE: {res:Robust}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2col:dy/dx wrt:}{res:1.contrump}{p_end}
{p2colreset}{...}
{lalign 7:1._at: }{space 0}{lalign 14:issue_salience} = {res:{ralign 1:1}}
{lalign 7:}{space 0}{lalign 14:pid3_indy} = {res:{ralign 1:1}}
{lalign 7:2._at: }{space 0}{lalign 14:issue_salience} = {res:{ralign 1:2}}
{lalign 7:}{space 0}{lalign 14:pid3_indy} = {res:{ralign 1:1}}
{lalign 7:3._at: }{space 0}{lalign 14:issue_salience} = {res:{ralign 1:3}}
{lalign 7:}{space 0}{lalign 14:pid3_indy} = {res:{ralign 1:1}}
{lalign 7:4._at: }{space 0}{lalign 14:issue_salience} = {res:{ralign 1:4}}
{lalign 7:}{space 0}{lalign 14:pid3_indy} = {res:{ralign 1:1}}
{lalign 7:5._at: }{space 0}{lalign 14:issue_salience} = {res:{ralign 1:5}}
{lalign 7:}{space 0}{lalign 14:pid3_indy} = {res:{ralign 1:1}}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}0.contrump  {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}1.contrump   {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.1740608{col 26}{space 2} .0981054{col 37}{space 1}   -1.77{col 46}{space 3}0.076{col 54}{space 4}-.3665696{col 67}{space 3} .0184479
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.1289248{col 26}{space 2} .0723797{col 37}{space 1}   -1.78{col 46}{space 3}0.075{col 54}{space 4}-.2709529{col 67}{space 3} .0131033
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0837888{col 26}{space 2} .0473523{col 37}{space 1}   -1.77{col 46}{space 3}0.077{col 54}{space 4}-.1767066{col 67}{space 3}  .009129
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0386528{col 26}{space 2} .0251978{col 37}{space 1}   -1.53{col 46}{space 3}0.125{col 54}{space 4}-.0880977{col 67}{space 3}  .010792
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .0064832{col 26}{space 2} .0204179{col 37}{space 1}    0.32{col 46}{space 3}0.751{col 54}{space 4}-.0335821{col 67}{space 3} .0465485
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. *republican
. margins, dydx(contrump) at(issue_salience=(1(1)5) pid3_indy=(2))
{res}
{txt}{col 1}Conditional marginal effects{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:13,685}
{txt}{col 1}Model VCE: {res:Robust}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2col:dy/dx wrt:}{res:1.contrump}{p_end}
{p2colreset}{...}
{lalign 7:1._at: }{space 0}{lalign 14:issue_salience} = {res:{ralign 1:1}}
{lalign 7:}{space 0}{lalign 14:pid3_indy} = {res:{ralign 1:2}}
{lalign 7:2._at: }{space 0}{lalign 14:issue_salience} = {res:{ralign 1:2}}
{lalign 7:}{space 0}{lalign 14:pid3_indy} = {res:{ralign 1:2}}
{lalign 7:3._at: }{space 0}{lalign 14:issue_salience} = {res:{ralign 1:3}}
{lalign 7:}{space 0}{lalign 14:pid3_indy} = {res:{ralign 1:2}}
{lalign 7:4._at: }{space 0}{lalign 14:issue_salience} = {res:{ralign 1:4}}
{lalign 7:}{space 0}{lalign 14:pid3_indy} = {res:{ralign 1:2}}
{lalign 7:5._at: }{space 0}{lalign 14:issue_salience} = {res:{ralign 1:5}}
{lalign 7:}{space 0}{lalign 14:pid3_indy} = {res:{ralign 1:2}}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}0.contrump  {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}1.contrump   {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0597271{col 26}{space 2} .0698529{col 37}{space 1}   -0.86{col 46}{space 3}0.393{col 54}{space 4}-.1967969{col 67}{space 3} .0773428
{txt}{space 10}2  {c |}{col 14}{res}{space 2} -.090915{col 26}{space 2} .0491257{col 37}{space 1}   -1.85{col 46}{space 3}0.065{col 54}{space 4}-.1873126{col 67}{space 3} .0054827
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.1221028{col 26}{space 2} .0326963{col 37}{space 1}   -3.73{col 46}{space 3}0.000{col 54}{space 4}-.1862616{col 67}{space 3} -.057944
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.1532907{col 26}{space 2} .0290957{col 37}{space 1}   -5.27{col 46}{space 3}0.000{col 54}{space 4}-.2103841{col 67}{space 3}-.0961972
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.1844786{col 26}{space 2} .0417836{col 37}{space 1}   -4.42{col 46}{space 3}0.000{col 54}{space 4}-.2664691{col 67}{space 3}-.1024881
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. *independent
. margins, dydx(contrump) at(issue_salience=(1(1)5) pid3_indy=(3))
{res}
{txt}{col 1}Conditional marginal effects{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:13,685}
{txt}{col 1}Model VCE: {res:Robust}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2col:dy/dx wrt:}{res:1.contrump}{p_end}
{p2colreset}{...}
{lalign 7:1._at: }{space 0}{lalign 14:issue_salience} = {res:{ralign 1:1}}
{lalign 7:}{space 0}{lalign 14:pid3_indy} = {res:{ralign 1:3}}
{lalign 7:2._at: }{space 0}{lalign 14:issue_salience} = {res:{ralign 1:2}}
{lalign 7:}{space 0}{lalign 14:pid3_indy} = {res:{ralign 1:3}}
{lalign 7:3._at: }{space 0}{lalign 14:issue_salience} = {res:{ralign 1:3}}
{lalign 7:}{space 0}{lalign 14:pid3_indy} = {res:{ralign 1:3}}
{lalign 7:4._at: }{space 0}{lalign 14:issue_salience} = {res:{ralign 1:4}}
{lalign 7:}{space 0}{lalign 14:pid3_indy} = {res:{ralign 1:3}}
{lalign 7:5._at: }{space 0}{lalign 14:issue_salience} = {res:{ralign 1:5}}
{lalign 7:}{space 0}{lalign 14:pid3_indy} = {res:{ralign 1:3}}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}0.contrump  {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}1.contrump   {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0565291{col 26}{space 2}  .085176{col 37}{space 1}   -0.66{col 46}{space 3}0.507{col 54}{space 4}-.2236669{col 67}{space 3} .1106088
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.0625351{col 26}{space 2} .0616476{col 37}{space 1}   -1.01{col 46}{space 3}0.311{col 54}{space 4} -.183504{col 67}{space 3} .0584337
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0685412{col 26}{space 2} .0401855{col 37}{space 1}   -1.71{col 46}{space 3}0.088{col 54}{space 4}-.1473959{col 67}{space 3} .0103134
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0745473{col 26}{space 2} .0264255{col 37}{space 1}   -2.82{col 46}{space 3}0.005{col 54}{space 4}-.1264011{col 67}{space 3}-.0226935
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.0805533{col 26}{space 2} .0324147{col 37}{space 1}   -2.49{col 46}{space 3}0.013{col 54}{space 4}-.1441596{col 67}{space 3}-.0169471
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. 
. *Model 2 - include individual fixed effects - accounts for average level of caring for each person
. areg Support i.contrump##c.issue_salience##i.pid3_indy if libtrump == 0, cluster(Question) absorb(caseid)
{txt}note: 2.pid3_indy omitted because of collinearity
{txt}note: 3.pid3_indy omitted because of collinearity
{res}
{txt}{col 1}Linear regression, absorbing indicators{col 53}{lalign 17:Number of obs}{col 70} = {res}{ralign 6:13,685}
{txt}{col 1}Absorbed variable: {res:caseid}{col 53}{lalign 17:No. of categories}{col 70} = {res}{ralign 6:1,033}
{txt}{col 53}{lalign 17:F({res:9}, {res:19})}{col 70} = {res}{ralign 6:15.92}
{txt}{col 53}{lalign 17:Prob > F}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 53}{lalign 17:R-squared}{col 70} = {res}{ralign 6:0.4533}
{txt}{col 53}{lalign 17:Adj R-squared}{col 70} = {res}{ralign 6:0.4083}
{txt}{col 53}{lalign 17:Root MSE}{col 70} = {res}{ralign 6:0.6979}

{txt}{ralign 101:(Std. err. adjusted for {res:20} clusters in {res:Question})}
{hline 36}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 37}{c |}{col 49}    Robust
{col 1}                            Support{col 37}{c |} Coefficient{col 49}  std. err.{col 61}      t{col 69}   P>|t|{col 77}     [95% con{col 90}f. interval]
{hline 36}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 25}1.contrump {c |}{col 37}{res}{space 2} -.131842{col 49}{space 2} .1273516{col 60}{space 1}   -1.04{col 69}{space 3}0.314{col 77}{space 4} -.398392{col 90}{space 3}  .134708
{txt}{space 21}issue_salience {c |}{col 37}{res}{space 2} .1143479{col 49}{space 2}  .025332{col 60}{space 1}    4.51{col 69}{space 3}0.000{col 77}{space 4} .0613275{col 90}{space 3} .1673684
{txt}{space 35} {c |}
{space 10}contrump#c.issue_salience {c |}
{space 33}1  {c |}{col 37}{res}{space 2} .0263187{col 49}{space 2} .0271753{col 60}{space 1}    0.97{col 69}{space 3}0.345{col 77}{space 4}-.0305599{col 90}{space 3} .0831973
{txt}{space 35} {c |}
{space 26}pid3_indy {c |}
{space 24}Republican  {c |}{col 37}{res}{space 2}        0{col 49}{txt}  (omitted)
{space 23}Independent  {c |}{col 37}{res}{space 2}        0{col 49}{txt}  (omitted)
{space 35} {c |}
{space 17}contrump#pid3_indy {c |}
{space 22}1#Republican  {c |}{col 37}{res}{space 2} .0922101{col 49}{space 2} .1596333{col 60}{space 1}    0.58{col 69}{space 3}0.570{col 77}{space 4}-.2419062{col 90}{space 3} .4263265
{txt}{space 21}1#Independent  {c |}{col 37}{res}{space 2} .1235062{col 49}{space 2} .1482427{col 60}{space 1}    0.83{col 69}{space 3}0.415{col 77}{space 4}-.1867694{col 90}{space 3} .4337817
{txt}{space 35} {c |}
{space 9}pid3_indy#c.issue_salience {c |}
{space 24}Republican  {c |}{col 37}{res}{space 2}-.0085957{col 49}{space 2} .0538841{col 60}{space 1}   -0.16{col 69}{space 3}0.875{col 77}{space 4}-.1213764{col 90}{space 3}  .104185
{txt}{space 23}Independent  {c |}{col 37}{res}{space 2}-.0107553{col 49}{space 2}  .037527{col 60}{space 1}   -0.29{col 69}{space 3}0.778{col 77}{space 4}-.0893002{col 90}{space 3} .0677897
{txt}{space 35} {c |}
contrump#pid3_indy#c.issue_salience {c |}
{space 22}1#Republican  {c |}{col 37}{res}{space 2}-.0508198{col 49}{space 2} .0343607{col 60}{space 1}   -1.48{col 69}{space 3}0.156{col 77}{space 4}-.1227375{col 90}{space 3}  .021098
{txt}{space 21}1#Independent  {c |}{col 37}{res}{space 2}-.0438546{col 49}{space 2} .0310829{col 60}{space 1}   -1.41{col 69}{space 3}0.174{col 77}{space 4}-.1089118{col 90}{space 3} .0212026
{txt}{space 35} {c |}
{space 30}_cons {c |}{col 37}{res}{space 2}-.2008937{col 49}{space 2} .1095036{col 60}{space 1}   -1.83{col 69}{space 3}0.082{col 77}{space 4}-.4300874{col 90}{space 3} .0283001
{txt}{hline 36}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Model 3 - include question fixed effects - accounts for aveage level of caring for each question
. areg Support i.contrump##c.issue_salience##i.pid3_indy if libtrump == 0, cluster(Question) absorb(Question)
{res}
{txt}{col 1}Linear regression, absorbing indicators{col 53}{lalign 17:Number of obs}{col 70} = {res}{ralign 6:13,685}
{txt}{col 1}Absorbed variable: {res:Question}{col 53}{lalign 17:No. of categories}{col 70} = {res}{ralign 6:20}
{txt}{col 53}{lalign 17:F({res:11}, {res:19})}{col 70} = {res}{ralign 6:128.65}
{txt}{col 53}{lalign 17:Prob > F}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 53}{lalign 17:R-squared}{col 70} = {res}{ralign 6:0.3024}
{txt}{col 53}{lalign 17:Adj R-squared}{col 70} = {res}{ralign 6:0.3009}
{txt}{col 53}{lalign 17:Root MSE}{col 70} = {res}{ralign 6:0.7587}

{txt}{ralign 101:(Std. err. adjusted for {res:20} clusters in {res:Question})}
{hline 36}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 37}{c |}{col 49}    Robust
{col 1}                            Support{col 37}{c |} Coefficient{col 49}  std. err.{col 61}      t{col 69}   P>|t|{col 77}     [95% con{col 90}f. interval]
{hline 36}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 25}1.contrump {c |}{col 37}{res}{space 2}-.2114227{col 49}{space 2} .1510573{col 60}{space 1}   -1.40{col 69}{space 3}0.178{col 77}{space 4}-.5275892{col 90}{space 3} .1047439
{txt}{space 21}issue_salience {c |}{col 37}{res}{space 2} .1405215{col 49}{space 2} .0203339{col 60}{space 1}    6.91{col 69}{space 3}0.000{col 77}{space 4} .0979621{col 90}{space 3} .1830808
{txt}{space 35} {c |}
{space 10}contrump#c.issue_salience {c |}
{space 33}1  {c |}{col 37}{res}{space 2} .0431038{col 49}{space 2} .0315881{col 60}{space 1}    1.36{col 69}{space 3}0.188{col 77}{space 4}-.0230109{col 90}{space 3} .1092186
{txt}{space 35} {c |}
{space 26}pid3_indy {c |}
{space 24}Republican  {c |}{col 37}{res}{space 2}  -.72465{col 49}{space 2}  .161286{col 60}{space 1}   -4.49{col 69}{space 3}0.000{col 77}{space 4}-1.062225{col 90}{space 3}-.3870745
{txt}{space 23}Independent  {c |}{col 37}{res}{space 2}-.5532996{col 49}{space 2} .1862459{col 60}{space 1}   -2.97{col 69}{space 3}0.008{col 77}{space 4}-.9431168{col 90}{space 3}-.1634824
{txt}{space 35} {c |}
{space 17}contrump#pid3_indy {c |}
{space 22}1#Republican  {c |}{col 37}{res}{space 2} .1573826{col 49}{space 2} .1834778{col 60}{space 1}    0.86{col 69}{space 3}0.402{col 77}{space 4}-.2266408{col 90}{space 3} .5414061
{txt}{space 21}1#Independent  {c |}{col 37}{res}{space 2} .1517726{col 49}{space 2} .1594254{col 60}{space 1}    0.95{col 69}{space 3}0.353{col 77}{space 4}-.1819086{col 90}{space 3} .4854539
{txt}{space 35} {c |}
{space 9}pid3_indy#c.issue_salience {c |}
{space 24}Republican  {c |}{col 37}{res}{space 2}-.0350181{col 49}{space 2} .0452989{col 60}{space 1}   -0.77{col 69}{space 3}0.449{col 77}{space 4}-.1298299{col 90}{space 3} .0597937
{txt}{space 23}Independent  {c |}{col 37}{res}{space 2}  .025948{col 49}{space 2} .0454483{col 60}{space 1}    0.57{col 69}{space 3}0.575{col 77}{space 4}-.0691764{col 90}{space 3} .1210723
{txt}{space 35} {c |}
contrump#pid3_indy#c.issue_salience {c |}
{space 22}1#Republican  {c |}{col 37}{res}{space 2} -.069882{col 49}{space 2} .0398194{col 60}{space 1}   -1.75{col 69}{space 3}0.095{col 77}{space 4}-.1532249{col 90}{space 3} .0134609
{txt}{space 21}1#Independent  {c |}{col 37}{res}{space 2}-.0454733{col 49}{space 2} .0339566{col 60}{space 1}   -1.34{col 69}{space 3}0.196{col 77}{space 4}-.1165453{col 90}{space 3} .0255988
{txt}{space 35} {c |}
{space 30}_cons {c |}{col 37}{res}{space 2} .0606657{col 49}{space 2} .0800565{col 60}{space 1}    0.76{col 69}{space 3}0.458{col 77}{space 4}-.1068945{col 90}{space 3}  .228226
{txt}{hline 36}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Model 4 - control for mean support rather than fixed effect
. regress Support i.contrump##c.issue_salience##i.pid3_indy salience_ave if libtrump == 0, cluster(Question)

{txt}Linear regression                               Number of obs     = {res}    13,685
                                                {txt}F(12, 19)         =  {res}   238.63
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2289
                                                {txt}Root MSE          =    {res} .79711

{txt}{ralign 101:(Std. err. adjusted for {res:20} clusters in {res:Question})}
{hline 36}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 37}{c |}{col 49}    Robust
{col 1}                            Support{col 37}{c |} Coefficient{col 49}  std. err.{col 61}      t{col 69}   P>|t|{col 77}     [95% con{col 90}f. interval]
{hline 36}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 25}1.contrump {c |}{col 37}{res}{space 2}-.2074807{col 49}{space 2} .1496132{col 60}{space 1}   -1.39{col 69}{space 3}0.182{col 77}{space 4}-.5206247{col 90}{space 3} .1056633
{txt}{space 21}issue_salience {c |}{col 37}{res}{space 2} .1035192{col 49}{space 2} .0202725{col 60}{space 1}    5.11{col 69}{space 3}0.000{col 77}{space 4} .0610885{col 90}{space 3}   .14595
{txt}{space 35} {c |}
{space 10}contrump#c.issue_salience {c |}
{space 33}1  {c |}{col 37}{res}{space 2} .0422806{col 49}{space 2} .0311986{col 60}{space 1}    1.36{col 69}{space 3}0.191{col 77}{space 4}-.0230189{col 90}{space 3} .1075801
{txt}{space 35} {c |}
{space 26}pid3_indy {c |}
{space 24}Republican  {c |}{col 37}{res}{space 2}-.6902655{col 49}{space 2} .1984964{col 60}{space 1}   -3.48{col 69}{space 3}0.003{col 77}{space 4}-1.105723{col 90}{space 3}-.2748078
{txt}{space 23}Independent  {c |}{col 37}{res}{space 2}-.4950273{col 49}{space 2} .2145115{col 60}{space 1}   -2.31{col 69}{space 3}0.032{col 77}{space 4}-.9440051{col 90}{space 3}-.0460495
{txt}{space 35} {c |}
{space 17}contrump#pid3_indy {c |}
{space 22}1#Republican  {c |}{col 37}{res}{space 2} .1735148{col 49}{space 2} .1990818{col 60}{space 1}    0.87{col 69}{space 3}0.394{col 77}{space 4}-.2431681{col 90}{space 3} .5901978
{txt}{space 21}1#Independent  {c |}{col 37}{res}{space 2} .1509151{col 49}{space 2} .1527865{col 60}{space 1}    0.99{col 69}{space 3}0.336{col 77}{space 4}-.1688707{col 90}{space 3}  .470701
{txt}{space 35} {c |}
{space 9}pid3_indy#c.issue_salience {c |}
{space 24}Republican  {c |}{col 37}{res}{space 2}-.0284467{col 49}{space 2} .0501323{col 60}{space 1}   -0.57{col 69}{space 3}0.577{col 77}{space 4}-.1333748{col 90}{space 3} .0764815
{txt}{space 23}Independent  {c |}{col 37}{res}{space 2}  .023589{col 49}{space 2} .0489831{col 60}{space 1}    0.48{col 69}{space 3}0.636{col 77}{space 4}-.0789339{col 90}{space 3} .1261119
{txt}{space 35} {c |}
contrump#pid3_indy#c.issue_salience {c |}
{space 22}1#Republican  {c |}{col 37}{res}{space 2} -.071354{col 49}{space 2}  .042351{col 60}{space 1}   -1.68{col 69}{space 3}0.108{col 77}{space 4}-.1599956{col 90}{space 3} .0172876
{txt}{space 21}1#Independent  {c |}{col 37}{res}{space 2}-.0474051{col 49}{space 2} .0328231{col 60}{space 1}   -1.44{col 69}{space 3}0.165{col 77}{space 4}-.1161047{col 90}{space 3} .0212945
{txt}{space 35} {c |}
{space 23}salience_ave {c |}{col 37}{res}{space 2} .1949642{col 49}{space 2} .0465659{col 60}{space 1}    4.19{col 69}{space 3}0.001{col 77}{space 4} .0975005{col 90}{space 3} .2924278
{txt}{space 30}_cons {c |}{col 37}{res}{space 2}-.6354034{col 49}{space 2} .1694064{col 60}{space 1}   -3.75{col 69}{space 3}0.001{col 77}{space 4}-.9899751{col 90}{space 3}-.2808316
{txt}{hline 36}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. *Model 5 - control for mean support and include question fixed effect
. areg Support i.contrump##c.issue_salience##i.pid3_indy salience_ave if libtrump == 0, cluster(caseid) absorb(Question)
{res}
{txt}{col 1}Linear regression, absorbing indicators{col 53}{lalign 17:Number of obs}{col 70} = {res}{ralign 6:13,685}
{txt}{col 1}Absorbed variable: {res:Question}{col 53}{lalign 17:No. of categories}{col 70} = {res}{ralign 6:20}
{txt}{col 53}{lalign 17:F({res:12}, {res:1032})}{col 70} = {res}{ralign 6:159.02}
{txt}{col 53}{lalign 17:Prob > F}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 53}{lalign 17:R-squared}{col 70} = {res}{ralign 6:0.3140}
{txt}{col 53}{lalign 17:Adj R-squared}{col 70} = {res}{ralign 6:0.3124}
{txt}{col 53}{lalign 17:Root MSE}{col 70} = {res}{ralign 6:0.7524}

{txt}{ralign 101:(Std. err. adjusted for {res:1,033} clusters in {res:caseid})}
{hline 36}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 37}{c |}{col 49}    Robust
{col 1}                            Support{col 37}{c |} Coefficient{col 49}  std. err.{col 61}      t{col 69}   P>|t|{col 77}     [95% con{col 90}f. interval]
{hline 36}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 25}1.contrump {c |}{col 37}{res}{space 2}-.1966694{col 49}{space 2} .1201464{col 60}{space 1}   -1.64{col 69}{space 3}0.102{col 77}{space 4}-.4324285{col 90}{space 3} .0390898
{txt}{space 21}issue_salience {c |}{col 37}{res}{space 2} .0563528{col 49}{space 2} .0202533{col 60}{space 1}    2.78{col 69}{space 3}0.005{col 77}{space 4} .0166103{col 90}{space 3} .0960952
{txt}{space 35} {c |}
{space 10}contrump#c.issue_salience {c |}
{space 33}1  {c |}{col 37}{res}{space 2} .0398079{col 49}{space 2} .0257233{col 60}{space 1}    1.55{col 69}{space 3}0.122{col 77}{space 4}-.0106682{col 90}{space 3} .0902839
{txt}{space 35} {c |}
{space 26}pid3_indy {c |}
{space 24}Republican  {c |}{col 37}{res}{space 2}-.7663786{col 49}{space 2} .1115367{col 60}{space 1}   -6.87{col 69}{space 3}0.000{col 77}{space 4}-.9852431{col 90}{space 3} -.547514
{txt}{space 23}Independent  {c |}{col 37}{res}{space 2}-.5721827{col 49}{space 2} .1186789{col 60}{space 1}   -4.82{col 69}{space 3}0.000{col 77}{space 4}-.8050622{col 90}{space 3}-.3393033
{txt}{space 35} {c |}
{space 17}contrump#pid3_indy {c |}
{space 22}1#Republican  {c |}{col 37}{res}{space 2} .1362968{col 49}{space 2} .1489931{col 60}{space 1}    0.91{col 69}{space 3}0.361{col 77}{space 4}-.1560671{col 90}{space 3} .4286607
{txt}{space 21}1#Independent  {c |}{col 37}{res}{space 2} .1247818{col 49}{space 2} .1588716{col 60}{space 1}    0.79{col 69}{space 3}0.432{col 77}{space 4}-.1869665{col 90}{space 3}   .43653
{txt}{space 35} {c |}
{space 9}pid3_indy#c.issue_salience {c |}
{space 24}Republican  {c |}{col 37}{res}{space 2}-.0092409{col 49}{space 2} .0256502{col 60}{space 1}   -0.36{col 69}{space 3}0.719{col 77}{space 4}-.0595734{col 90}{space 3} .0410916
{txt}{space 23}Independent  {c |}{col 37}{res}{space 2} .0410748{col 49}{space 2} .0270258{col 60}{space 1}    1.52{col 69}{space 3}0.129{col 77}{space 4} -.011957{col 90}{space 3} .0941066
{txt}{space 35} {c |}
contrump#pid3_indy#c.issue_salience {c |}
{space 22}1#Republican  {c |}{col 37}{res}{space 2}-.0641615{col 49}{space 2} .0338366{col 60}{space 1}   -1.90{col 69}{space 3}0.058{col 77}{space 4} -.130558{col 90}{space 3} .0022349
{txt}{space 21}1#Independent  {c |}{col 37}{res}{space 2}-.0399875{col 49}{space 2} .0350638{col 60}{space 1}   -1.14{col 69}{space 3}0.254{col 77}{space 4} -.108792{col 90}{space 3}  .028817
{txt}{space 35} {c |}
{space 23}salience_ave {c |}{col 37}{res}{space 2}  .229549{col 49}{space 2} .0261985{col 60}{space 1}    8.76{col 69}{space 3}0.000{col 77}{space 4} .1781406{col 90}{space 3} .2809574
{txt}{space 30}_cons {c |}{col 37}{res}{space 2}-.5806392{col 49}{space 2}  .116612{col 60}{space 1}   -4.98{col 69}{space 3}0.000{col 77}{space 4}-.8094629{col 90}{space 3}-.3518155
{txt}{hline 36}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Model 6 - include question and individual fixed effect
. areg Support i.Question i.contrump##c.issue_salience##i.pid3_indy if libtrump == 0, cluster(Question) absorb(caseid)
{txt}note: 2.pid3_indy omitted because of collinearity
{txt}note: 3.pid3_indy omitted because of collinearity
{res}
{txt}{col 1}Linear regression, absorbing indicators{col 53}{lalign 17:Number of obs}{col 70} = {res}{ralign 6:13,685}
{txt}{col 1}Absorbed variable: {res:caseid}{col 53}{lalign 17:No. of categories}{col 70} = {res}{ralign 6:1,033}
{txt}{col 53}{lalign 17:{help j_robustsingular##|_new:F(19, 19)}}{col 70} = {res}{ralign 6:.}
{txt}{col 53}{lalign 17:Prob > F}{col 70} = {res}{ralign 6:.}
{txt}{col 53}{lalign 17:R-squared}{col 70} = {res}{ralign 6:0.5361}
{txt}{col 53}{lalign 17:Adj R-squared}{col 70} = {res}{ralign 6:0.4971}
{txt}{col 53}{lalign 17:Root MSE}{col 70} = {res}{ralign 6:0.6432}

{txt}{ralign 101:(Std. err. adjusted for {res:20} clusters in {res:Question})}
{hline 36}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 37}{c |}{col 49}    Robust
{col 1}                            Support{col 37}{c |} Coefficient{col 49}  std. err.{col 61}      t{col 69}   P>|t|{col 77}     [95% con{col 90}f. interval]
{hline 36}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 27}Question {c |}
{space 20}"Tax Increase"  {c |}{col 37}{res}{space 2} .0701794{col 49}{space 2} .0115006{col 60}{space 1}    6.10{col 69}{space 3}0.000{col 77}{space 4} .0461085{col 90}{space 3} .0942504
{txt}{space 24}"Abortion"  {c |}{col 37}{res}{space 2} .1170425{col 49}{space 2} .0094696{col 60}{space 1}   12.36{col 69}{space 3}0.000{col 77}{space 4} .0972223{col 90}{space 3} .1368627
{txt}{space 21}"Immigration"  {c |}{col 37}{res}{space 2}-.2953711{col 49}{space 2} .0135532{col 60}{space 1}  -21.79{col 69}{space 3}0.000{col 77}{space 4}-.3237382{col 90}{space 3}-.2670039
{txt}{space 20} "School Guns"  {c |}{col 37}{res}{space 2}-.1847038{col 49}{space 2} .0118157{col 60}{space 1}  -15.63{col 69}{space 3}0.000{col 77}{space 4}-.2094343{col 90}{space 3}-.1599733
{txt}{space 21}"Health Care"  {c |}{col 37}{res}{space 2}-.1834922{col 49}{space 2} .0135641{col 60}{space 1}  -13.53{col 69}{space 3}0.000{col 77}{space 4}-.2118821{col 90}{space 3}-.1551022
{txt}{space 17}"Guns Background"  {c |}{col 37}{res}{space 2} .3550618{col 49}{space 2} .0123073{col 60}{space 1}   28.85{col 69}{space 3}0.000{col 77}{space 4} .3293024{col 90}{space 3} .3808212
{txt}{space 18}"Climate Change"  {c |}{col 37}{res}{space 2} -.053836{col 49}{space 2}  .007322{col 60}{space 1}   -7.35{col 69}{space 3}0.000{col 77}{space 4}-.0691611{col 90}{space 3}-.0385108
{txt}{space 14}"Planned Parenthood"  {c |}{col 37}{res}{space 2}-.2413708{col 49}{space 2} .0083543{col 60}{space 1}  -28.89{col 69}{space 3}0.000{col 77}{space 4}-.2588566{col 90}{space 3} -.223885
{txt}{space 21}"North Korea"  {c |}{col 37}{res}{space 2}-.4194332{col 49}{space 2} .0098163{col 60}{space 1}  -42.73{col 69}{space 3}0.000{col 77}{space 4} -.439979{col 90}{space 3}-.3988874
{txt}{space 20}"China Tarrif"  {c |}{col 37}{res}{space 2}-.4441031{col 49}{space 2} .0102627{col 60}{space 1}  -43.27{col 69}{space 3}0.000{col 77}{space 4}-.4655832{col 90}{space 3}-.4226229
{txt}{space 20}"Steel Tarrif"  {c |}{col 37}{res}{space 2}-.3097831{col 49}{space 2} .0088643{col 60}{space 1}  -34.95{col 69}{space 3}0.000{col 77}{space 4}-.3283364{col 90}{space 3}-.2912298
{txt}{space 18}"Remove Mueller"  {c |}{col 37}{res}{space 2}-.0666835{col 49}{space 2} .0095177{col 60}{space 1}   -7.01{col 69}{space 3}0.000{col 77}{space 4}-.0866042{col 90}{space 3}-.0467628
{txt}{space 20}"Cut Medicare"  {c |}{col 37}{res}{space 2} .3805007{col 49}{space 2} .0110383{col 60}{space 1}   34.47{col 69}{space 3}0.000{col 77}{space 4} .3573973{col 90}{space 3} .4036042
{txt}{space 21}"Drug Prices"  {c |}{col 37}{res}{space 2}  .290479{col 49}{space 2} .0107564{col 60}{space 1}   27.01{col 69}{space 3}0.000{col 77}{space 4} .2679656{col 90}{space 3} .3129924
{txt}{space 21}"Food Stamps"  {c |}{col 37}{res}{space 2}-.5409557{col 49}{space 2} .0080568{col 60}{space 1}  -67.14{col 69}{space 3}0.000{col 77}{space 4}-.5578187{col 90}{space 3}-.5240926
{txt}{space 20}"Oil Drilling"  {c |}{col 37}{res}{space 2}-.3688028{col 49}{space 2} .0086028{col 60}{space 1}  -42.87{col 69}{space 3}0.000{col 77}{space 4}-.3868087{col 90}{space 3}-.3507969
{txt}{space 20}"Comey Unfair"  {c |}{col 37}{res}{space 2}-.3751047{col 49}{space 2} .0104381{col 60}{space 1}  -35.94{col 69}{space 3}0.000{col 77}{space 4}-.3969519{col 90}{space 3}-.3532575
{txt}{space 21}"Puerto Rico"  {c |}{col 37}{res}{space 2} .0855125{col 49}{space 2} .0074129{col 60}{space 1}   11.54{col 69}{space 3}0.000{col 77}{space 4} .0699971{col 90}{space 3} .1010279
{txt}{space 20}"Support DACA"  {c |}{col 37}{res}{space 2}-.2622295{col 49}{space 2} .0131948{col 60}{space 1}  -19.87{col 69}{space 3}0.000{col 77}{space 4}-.2898465{col 90}{space 3}-.2346125
{txt}{space 35} {c |}
{space 25}1.contrump {c |}{col 37}{res}{space 2}-.1284017{col 49}{space 2} .1355064{col 60}{space 1}   -0.95{col 69}{space 3}0.355{col 77}{space 4}  -.41202{col 90}{space 3} .1552165
{txt}{space 21}issue_salience {c |}{col 37}{res}{space 2}  .057128{col 49}{space 2}  .022376{col 60}{space 1}    2.55{col 69}{space 3}0.019{col 77}{space 4} .0102944{col 90}{space 3} .1039615
{txt}{space 35} {c |}
{space 10}contrump#c.issue_salience {c |}
{space 33}1  {c |}{col 37}{res}{space 2} .0256755{col 49}{space 2} .0291365{col 60}{space 1}    0.88{col 69}{space 3}0.389{col 77}{space 4}-.0353078{col 90}{space 3} .0866589
{txt}{space 35} {c |}
{space 26}pid3_indy {c |}
{space 24}Republican  {c |}{col 37}{res}{space 2}        0{col 49}{txt}  (omitted)
{space 23}Independent  {c |}{col 37}{res}{space 2}        0{col 49}{txt}  (omitted)
{space 35} {c |}
{space 17}contrump#pid3_indy {c |}
{space 22}1#Republican  {c |}{col 37}{res}{space 2} .0710551{col 49}{space 2} .1619893{col 60}{space 1}    0.44{col 69}{space 3}0.666{col 77}{space 4}-.2679925{col 90}{space 3} .4101027
{txt}{space 21}1#Independent  {c |}{col 37}{res}{space 2}  .095241{col 49}{space 2} .1468817{col 60}{space 1}    0.65{col 69}{space 3}0.524{col 77}{space 4}-.2121859{col 90}{space 3} .4026679
{txt}{space 35} {c |}
{space 9}pid3_indy#c.issue_salience {c |}
{space 24}Republican  {c |}{col 37}{res}{space 2} .0238817{col 49}{space 2} .0459348{col 60}{space 1}    0.52{col 69}{space 3}0.609{col 77}{space 4} -.072261{col 90}{space 3} .1200244
{txt}{space 23}Independent  {c |}{col 37}{res}{space 2} .0181471{col 49}{space 2} .0311066{col 60}{space 1}    0.58{col 69}{space 3}0.566{col 77}{space 4}-.0469599{col 90}{space 3}  .083254
{txt}{space 35} {c |}
contrump#pid3_indy#c.issue_salience {c |}
{space 22}1#Republican  {c |}{col 37}{res}{space 2}-.0476237{col 49}{space 2} .0359514{col 60}{space 1}   -1.32{col 69}{space 3}0.201{col 77}{space 4}-.1228709{col 90}{space 3} .0276235
{txt}{space 21}1#Independent  {c |}{col 37}{res}{space 2}-.0361835{col 49}{space 2} .0312846{col 60}{space 1}   -1.16{col 69}{space 3}0.262{col 77}{space 4}-.1016629{col 90}{space 3} .0292959
{txt}{space 35} {c |}
{space 30}_cons {c |}{col 37}{res}{space 2} .0846398{col 49}{space 2}  .063006{col 60}{space 1}    1.34{col 69}{space 3}0.195{col 77}{space 4}-.0472333{col 90}{space 3} .2165129
{txt}{hline 36}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *Model 7 - include control variables
. regress Support i.contrump##c.issue_salience##i.pid3_indy knowledge party_strength trump_favor ideo5b if libtrump == 0, cluster(Question)

{txt}Linear regression                               Number of obs     = {res}    12,661
                                                {txt}F(15, 19)         =  {res}   324.17
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.3684
                                                {txt}Root MSE          =    {res} .72988

{txt}{ralign 101:(Std. err. adjusted for {res:20} clusters in {res:Question})}
{hline 36}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 37}{c |}{col 49}    Robust
{col 1}                            Support{col 37}{c |} Coefficient{col 49}  std. err.{col 61}      t{col 69}   P>|t|{col 77}     [95% con{col 90}f. interval]
{hline 36}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 25}1.contrump {c |}{col 37}{res}{space 2}-.1761019{col 49}{space 2} .1528398{col 60}{space 1}   -1.15{col 69}{space 3}0.264{col 77}{space 4}-.4959993{col 90}{space 3} .1437954
{txt}{space 21}issue_salience {c |}{col 37}{res}{space 2}  .130673{col 49}{space 2} .0142525{col 60}{space 1}    9.17{col 69}{space 3}0.000{col 77}{space 4} .1008421{col 90}{space 3} .1605039
{txt}{space 35} {c |}
{space 10}contrump#c.issue_salience {c |}
{space 33}1  {c |}{col 37}{res}{space 2} .0375492{col 49}{space 2} .0315454{col 60}{space 1}    1.19{col 69}{space 3}0.249{col 77}{space 4} -.028476{col 90}{space 3} .1035744
{txt}{space 35} {c |}
{space 26}pid3_indy {c |}
{space 24}Republican  {c |}{col 37}{res}{space 2} .0022211{col 49}{space 2} .1809899{col 60}{space 1}    0.01{col 69}{space 3}0.990{col 77}{space 4}-.3765952{col 90}{space 3} .3810374
{txt}{space 23}Independent  {c |}{col 37}{res}{space 2} .1224308{col 49}{space 2} .1496065{col 60}{space 1}    0.82{col 69}{space 3}0.423{col 77}{space 4}-.1906991{col 90}{space 3} .4355607
{txt}{space 35} {c |}
{space 17}contrump#pid3_indy {c |}
{space 22}1#Republican  {c |}{col 37}{res}{space 2} .1183732{col 49}{space 2} .1744815{col 60}{space 1}    0.68{col 69}{space 3}0.506{col 77}{space 4}-.2468208{col 90}{space 3} .4835671
{txt}{space 21}1#Independent  {c |}{col 37}{res}{space 2} .1615166{col 49}{space 2} .1424401{col 60}{space 1}    1.13{col 69}{space 3}0.271{col 77}{space 4}-.1366141{col 90}{space 3} .4596472
{txt}{space 35} {c |}
{space 9}pid3_indy#c.issue_salience {c |}
{space 24}Republican  {c |}{col 37}{res}{space 2}-.0045999{col 49}{space 2} .0428164{col 60}{space 1}   -0.11{col 69}{space 3}0.916{col 77}{space 4}-.0942157{col 90}{space 3} .0850158
{txt}{space 23}Independent  {c |}{col 37}{res}{space 2}-.0248279{col 49}{space 2} .0318629{col 60}{space 1}   -0.78{col 69}{space 3}0.445{col 77}{space 4}-.0915177{col 90}{space 3}  .041862
{txt}{space 35} {c |}
contrump#pid3_indy#c.issue_salience {c |}
{space 22}1#Republican  {c |}{col 37}{res}{space 2} -.061831{col 49}{space 2}  .037511{col 60}{space 1}   -1.65{col 69}{space 3}0.116{col 77}{space 4}-.1403424{col 90}{space 3} .0166804
{txt}{space 21}1#Independent  {c |}{col 37}{res}{space 2}-.0481559{col 49}{space 2}  .030533{col 60}{space 1}   -1.58{col 69}{space 3}0.131{col 77}{space 4}-.1120622{col 90}{space 3} .0157504
{txt}{space 35} {c |}
{space 26}knowledge {c |}{col 37}{res}{space 2} -.012209{col 49}{space 2} .0078613{col 60}{space 1}   -1.55{col 69}{space 3}0.137{col 77}{space 4} -.028663{col 90}{space 3} .0042449
{txt}{space 21}party_strength {c |}{col 37}{res}{space 2} .0333958{col 49}{space 2} .0186005{col 60}{space 1}    1.80{col 69}{space 3}0.089{col 77}{space 4}-.0055355{col 90}{space 3}  .072327
{txt}{space 24}trump_favor {c |}{col 37}{res}{space 2}-.2948248{col 49}{space 2} .0216451{col 60}{space 1}  -13.62{col 69}{space 3}0.000{col 77}{space 4}-.3401285{col 90}{space 3}-.2495211
{txt}{space 29}ideo5b {c |}{col 37}{res}{space 2}-.1155343{col 49}{space 2} .0125843{col 60}{space 1}   -9.18{col 69}{space 3}0.000{col 77}{space 4}-.1418736{col 90}{space 3} -.089195
{txt}{space 30}_cons {c |}{col 37}{res}{space 2} .6740145{col 49}{space 2} .1637892{col 60}{space 1}    4.12{col 69}{space 3}0.001{col 77}{space 4} .3311998{col 90}{space 3} 1.016829
{txt}{hline 36}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. *Model 8 - include control variables with question fixed effects
. regress Support i.contrump##c.issue_salience##i.pid3_indy knowledge party_strength trump_favor ideo5b if libtrump == 0, cluster(Question) absorb(Question)

{txt}Linear regression, absorbing indicators         Number of obs     = {res}    12,661
                                                {txt}{help j_robustsingular:F(14, 19) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.4503
                                                {txt}Adj R-squared     = {res}    0.4488
                                                {txt}Root MSE          =    {res} .68144

{txt}{ralign 101:(Std. err. adjusted for {res:20} clusters in {res:Question})}
{hline 36}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 37}{c |}{col 49}    Robust
{col 1}                            Support{col 37}{c |} Coefficient{col 49}  std. err.{col 61}      t{col 69}   P>|t|{col 77}     [95% con{col 90}f. interval]
{hline 36}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 25}1.contrump {c |}{col 37}{res}{space 2}-.1709225{col 49}{space 2} .1618302{col 60}{space 1}   -1.06{col 69}{space 3}0.304{col 77}{space 4}-.5096371{col 90}{space 3} .1677921
{txt}{space 21}issue_salience {c |}{col 37}{res}{space 2} .0935959{col 49}{space 2} .0192599{col 60}{space 1}    4.86{col 69}{space 3}0.000{col 77}{space 4} .0532845{col 90}{space 3} .1339073
{txt}{space 35} {c |}
{space 10}contrump#c.issue_salience {c |}
{space 33}1  {c |}{col 37}{res}{space 2} .0363811{col 49}{space 2} .0338048{col 60}{space 1}    1.08{col 69}{space 3}0.295{col 77}{space 4}-.0343731{col 90}{space 3} .1071353
{txt}{space 35} {c |}
{space 26}pid3_indy {c |}
{space 24}Republican  {c |}{col 37}{res}{space 2}-.0775577{col 49}{space 2} .1600047{col 60}{space 1}   -0.48{col 69}{space 3}0.633{col 77}{space 4}-.4124514{col 90}{space 3}  .257336
{txt}{space 23}Independent  {c |}{col 37}{res}{space 2} .0181021{col 49}{space 2} .1328476{col 60}{space 1}    0.14{col 69}{space 3}0.893{col 77}{space 4}-.2599512{col 90}{space 3} .2961554
{txt}{space 35} {c |}
{space 17}contrump#pid3_indy {c |}
{space 22}1#Republican  {c |}{col 37}{res}{space 2} .0880167{col 49}{space 2} .1770618{col 60}{space 1}    0.50{col 69}{space 3}0.625{col 77}{space 4}-.2825778{col 90}{space 3} .4586112
{txt}{space 21}1#Independent  {c |}{col 37}{res}{space 2} .1615419{col 49}{space 2} .1519522{col 60}{space 1}    1.06{col 69}{space 3}0.301{col 77}{space 4}-.1564977{col 90}{space 3} .4795814
{txt}{space 35} {c |}
{space 9}pid3_indy#c.issue_salience {c |}
{space 24}Republican  {c |}{col 37}{res}{space 2} .0144212{col 49}{space 2} .0381232{col 60}{space 1}    0.38{col 69}{space 3}0.709{col 77}{space 4}-.0653716{col 90}{space 3} .0942139
{txt}{space 23}Independent  {c |}{col 37}{res}{space 2}-.0028097{col 49}{space 2}  .026924{col 60}{space 1}   -0.10{col 69}{space 3}0.918{col 77}{space 4}-.0591622{col 90}{space 3} .0535428
{txt}{space 35} {c |}
contrump#pid3_indy#c.issue_salience {c |}
{space 22}1#Republican  {c |}{col 37}{res}{space 2}-.0562539{col 49}{space 2} .0389178{col 60}{space 1}   -1.45{col 69}{space 3}0.165{col 77}{space 4}-.1377099{col 90}{space 3}  .025202
{txt}{space 21}1#Independent  {c |}{col 37}{res}{space 2}-.0459296{col 49}{space 2} .0325665{col 60}{space 1}   -1.41{col 69}{space 3}0.175{col 77}{space 4}-.1140919{col 90}{space 3} .0222328
{txt}{space 35} {c |}
{space 26}knowledge {c |}{col 37}{res}{space 2}-.0106504{col 49}{space 2}  .008194{col 60}{space 1}   -1.30{col 69}{space 3}0.209{col 77}{space 4}-.0278007{col 90}{space 3} .0064999
{txt}{space 21}party_strength {c |}{col 37}{res}{space 2} .0323898{col 49}{space 2} .0192239{col 60}{space 1}    1.68{col 69}{space 3}0.108{col 77}{space 4}-.0078464{col 90}{space 3} .0726259
{txt}{space 24}trump_favor {c |}{col 37}{res}{space 2}-.2944023{col 49}{space 2}  .021007{col 60}{space 1}  -14.01{col 69}{space 3}0.000{col 77}{space 4}-.3383704{col 90}{space 3}-.2504341
{txt}{space 29}ideo5b {c |}{col 37}{res}{space 2}-.1188117{col 49}{space 2} .0121636{col 60}{space 1}   -9.77{col 69}{space 3}0.000{col 77}{space 4}-.1442704{col 90}{space 3}-.0933529
{txt}{space 30}_cons {c |}{col 37}{res}{space 2} .8378706{col 49}{space 2} .1379397{col 60}{space 1}    6.07{col 69}{space 3}0.000{col 77}{space 4} .5491596{col 90}{space 3} 1.126582
{txt}{hline 36}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. 
. 
. **********************************************
. *TABLE A6: "placebo" test - salience by average salience per question, not by respondent
. bys Question: egen salience_ave_q = mean(issue_salience)
{txt}(1,627 missing values generated)

{com}. 
. *Model 1
. regress Support i.libtrump##c.salience_ave_q i.contrump##c.salience_ave_q, cluster(Question)
{txt}{p 0 6 2}note: {bf:salience_ave_q} omitted because of collinearity.{p_end}

Linear regression                               Number of obs     = {res}    20,604
                                                {txt}F(5, 19)          =  {res}    20.03
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0192
                                                {txt}Root MSE          =    {res}  .8855

{txt}{ralign 91:(Std. err. adjusted for {res:20} clusters in {res:Question})}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                  Support{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}1.libtrump {c |}{col 27}{res}{space 2} .2795865{col 39}{space 2} .2628134{col 50}{space 1}    1.06{col 59}{space 3}0.301{col 67}{space 4}-.2704882{col 80}{space 3} .8296612
{txt}{space 11}salience_ave_q {c |}{col 27}{res}{space 2} .4242143{col 39}{space 2} .2035091{col 50}{space 1}    2.08{col 59}{space 3}0.051{col 67}{space 4}-.0017351{col 80}{space 3} .8501638
{txt}{space 25} {c |}
libtrump#c.salience_ave_q {c |}
{space 23}1  {c |}{col 27}{res}{space 2}-.0486584{col 39}{space 2}  .063112{col 50}{space 1}   -0.77{col 59}{space 3}0.450{col 67}{space 4}-.1807534{col 80}{space 3} .0834366
{txt}{space 25} {c |}
{space 15}1.contrump {c |}{col 27}{res}{space 2} .2303843{col 39}{space 2} .2686755{col 50}{space 1}    0.86{col 59}{space 3}0.402{col 67}{space 4}-.3319601{col 80}{space 3} .7927287
{txt}{space 11}salience_ave_q {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 25} {c |}
contrump#c.salience_ave_q {c |}
{space 23}1  {c |}{col 27}{res}{space 2}-.0738354{col 39}{space 2} .0643128{col 50}{space 1}   -1.15{col 59}{space 3}0.265{col 67}{space 4}-.2084437{col 80}{space 3} .0607728
{txt}{space 25} {c |}
{space 20}_cons {c |}{col 27}{res}{space 2} -1.50633{col 39}{space 2} .8331177{col 50}{space 1}   -1.81{col 59}{space 3}0.086{col 67}{space 4}-3.250065{col 80}{space 3} .2374058
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. *Model 2
. areg Support i.libtrump##c.salience_ave_q i.contrump##c.salience_ave_q, absorb(caseid) cluster(Question)
{txt}note: {bf:salience_ave_q} omitted because of collinearity.
{res}
{txt}{col 1}Linear regression, absorbing indicators{col 53}{lalign 17:Number of obs}{col 70} = {res}{ralign 6:20,604}
{txt}{col 1}Absorbed variable: {res:caseid}{col 53}{lalign 17:No. of categories}{col 70} = {res}{ralign 6:1,033}
{txt}{col 53}{lalign 17:F({res:5}, {res:19})}{col 70} = {res}{ralign 6:32.37}
{txt}{col 53}{lalign 17:Prob > F}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 53}{lalign 17:R-squared}{col 70} = {res}{ralign 6:0.3865}
{txt}{col 53}{lalign 17:Adj R-squared}{col 70} = {res}{ralign 6:0.3539}
{txt}{col 53}{lalign 17:Root MSE}{col 70} = {res}{ralign 6:0.7186}

{txt}{ralign 91:(Std. err. adjusted for {res:20} clusters in {res:Question})}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                  Support{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}1.libtrump {c |}{col 27}{res}{space 2} .2944546{col 39}{space 2} .2314284{col 50}{space 1}    1.27{col 59}{space 3}0.219{col 67}{space 4}-.1899307{col 80}{space 3} .7788399
{txt}{space 11}salience_ave_q {c |}{col 27}{res}{space 2} .4192824{col 39}{space 2} .2065186{col 50}{space 1}    2.03{col 59}{space 3}0.057{col 67}{space 4} -.012966{col 80}{space 3} .8515308
{txt}{space 25} {c |}
libtrump#c.salience_ave_q {c |}
{space 23}1  {c |}{col 27}{res}{space 2}-.0485681{col 39}{space 2} .0545087{col 50}{space 1}   -0.89{col 59}{space 3}0.384{col 67}{space 4}-.1626561{col 80}{space 3} .0655199
{txt}{space 25} {c |}
{space 15}1.contrump {c |}{col 27}{res}{space 2} .1659922{col 39}{space 2} .2116262{col 50}{space 1}    0.78{col 59}{space 3}0.442{col 67}{space 4}-.2769465{col 80}{space 3} .6089309
{txt}{space 11}salience_ave_q {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 25} {c |}
contrump#c.salience_ave_q {c |}
{space 23}1  {c |}{col 27}{res}{space 2}-.0573932{col 39}{space 2} .0522196{col 50}{space 1}   -1.10{col 59}{space 3}0.285{col 67}{space 4}-.1666901{col 80}{space 3} .0519038
{txt}{space 25} {c |}
{space 20}_cons {c |}{col 27}{res}{space 2}-1.492218{col 39}{space 2} .8453155{col 50}{space 1}   -1.77{col 59}{space 3}0.094{col 67}{space 4}-3.261484{col 80}{space 3} .2770474
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *Model 3
. areg Support i.libtrump##c.salience_ave_q i.contrump##c.salience_ave_q, absorb(Question) cluster(caseid)
{txt}note: {bf:salience_ave_q} omitted because of collinearity.
{txt}note: salience_ave_q omitted because of collinearity
{res}
{txt}{col 1}Linear regression, absorbing indicators{col 53}{lalign 17:Number of obs}{col 70} = {res}{ralign 6:20,604}
{txt}{col 1}Absorbed variable: {res:Question}{col 53}{lalign 17:No. of categories}{col 70} = {res}{ralign 6:20}
{txt}{col 53}{lalign 17:F({res:4}, {res:1032})}{col 70} = {res}{ralign 6:18.72}
{txt}{col 53}{lalign 17:Prob > F}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 53}{lalign 17:R-squared}{col 70} = {res}{ralign 6:0.0952}
{txt}{col 53}{lalign 17:Adj R-squared}{col 70} = {res}{ralign 6:0.0941}
{txt}{col 53}{lalign 17:Root MSE}{col 70} = {res}{ralign 6:0.8509}

{txt}{ralign 91:(Std. err. adjusted for {res:1,033} clusters in {res:caseid})}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                  Support{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}1.libtrump {c |}{col 27}{res}{space 2} .2472447{col 39}{space 2} .2189305{col 50}{space 1}    1.13{col 59}{space 3}0.259{col 67}{space 4} -.182355{col 80}{space 3} .6768444
{txt}{space 11}salience_ave_q {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 25} {c |}
libtrump#c.salience_ave_q {c |}
{space 23}1  {c |}{col 27}{res}{space 2}-.0424449{col 39}{space 2} .0522352{col 50}{space 1}   -0.81{col 59}{space 3}0.417{col 67}{space 4}-.1449443{col 80}{space 3} .0600545
{txt}{space 25} {c |}
{space 15}1.contrump {c |}{col 27}{res}{space 2} .2347805{col 39}{space 2} .2242598{col 50}{space 1}    1.05{col 59}{space 3}0.295{col 67}{space 4}-.2052768{col 80}{space 3} .6748379
{txt}{space 11}salience_ave_q {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 25} {c |}
contrump#c.salience_ave_q {c |}
{space 23}1  {c |}{col 27}{res}{space 2}-.0752859{col 39}{space 2} .0537196{col 50}{space 1}   -1.40{col 59}{space 3}0.161{col 67}{space 4}-.1806979{col 80}{space 3} .0301261
{txt}{space 25} {c |}
{space 20}_cons {c |}{col 27}{res}{space 2} .2573838{col 39}{space 2} .0192212{col 50}{space 1}   13.39{col 59}{space 3}0.000{col 67}{space 4} .2196668{col 80}{space 3} .2951009
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *Model 4
. regress Support i.libtrump##c.salience_ave_q i.contrump##c.salience_ave_q salience_ave, cluster(Question)
{txt}{p 0 6 2}note: {bf:salience_ave_q} omitted because of collinearity.{p_end}

Linear regression                               Number of obs     = {res}    20,604
                                                {txt}F(6, 19)          =  {res}   251.56
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0973
                                                {txt}Root MSE          =    {res} .84951

{txt}{ralign 91:(Std. err. adjusted for {res:20} clusters in {res:Question})}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                  Support{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}1.libtrump {c |}{col 27}{res}{space 2} .2764857{col 39}{space 2} .2277018{col 50}{space 1}    1.21{col 59}{space 3}0.240{col 67}{space 4}-.2000997{col 80}{space 3}  .753071
{txt}{space 11}salience_ave_q {c |}{col 27}{res}{space 2} .4174226{col 39}{space 2} .2047332{col 50}{space 1}    2.04{col 59}{space 3}0.056{col 67}{space 4}-.0110889{col 80}{space 3} .8459342
{txt}{space 25} {c |}
libtrump#c.salience_ave_q {c |}
{space 23}1  {c |}{col 27}{res}{space 2}-.0477553{col 39}{space 2} .0547041{col 50}{space 1}   -0.87{col 59}{space 3}0.394{col 67}{space 4}-.1622523{col 80}{space 3} .0667417
{txt}{space 25} {c |}
{space 15}1.contrump {c |}{col 27}{res}{space 2} .1519016{col 39}{space 2} .2603462{col 50}{space 1}    0.58{col 59}{space 3}0.566{col 67}{space 4}-.3930092{col 80}{space 3} .6968124
{txt}{space 11}salience_ave_q {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 25} {c |}
contrump#c.salience_ave_q {c |}
{space 23}1  {c |}{col 27}{res}{space 2}-.0547834{col 39}{space 2} .0631047{col 50}{space 1}   -0.87{col 59}{space 3}0.396{col 67}{space 4}-.1868631{col 80}{space 3} .0772962
{txt}{space 25} {c |}
{space 13}salience_ave {c |}{col 27}{res}{space 2} .4604866{col 39}{space 2} .0255432{col 50}{space 1}   18.03{col 59}{space 3}0.000{col 67}{space 4} .4070241{col 80}{space 3}  .513949
{txt}{space 20}_cons {c |}{col 27}{res}{space 2}-3.409496{col 39}{space 2} .7825288{col 50}{space 1}   -4.36{col 59}{space 3}0.000{col 67}{space 4}-5.047348{col 80}{space 3}-1.771645
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. *Model 5
. regress Support i.libtrump##c.salience_ave_q i.contrump##c.salience_ave_q salience_ave, absorb(Question) cluster(Question)
{txt}{p 0 6 2}note: {bf:salience_ave_q} omitted because of collinearity.{p_end}
{p 0 6 2}note: {bf:salience_ave_q} omitted because of collinearity.{p_end}

Linear regression, absorbing indicators         Number of obs     = {res}    20,604
                                                {txt}{help j_robustsingular:F(4, 19) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1733
                                                {txt}Adj R-squared     = {res}    0.1724
                                                {txt}Root MSE          =    {res} .81332

{txt}{ralign 91:(Std. err. adjusted for {res:20} clusters in {res:Question})}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                  Support{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}1.libtrump {c |}{col 27}{res}{space 2} .2440514{col 39}{space 2} .2321269{col 50}{space 1}    1.05{col 59}{space 3}0.306{col 67}{space 4}-.2417957{col 80}{space 3} .7298985
{txt}{space 11}salience_ave_q {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 25} {c |}
libtrump#c.salience_ave_q {c |}
{space 23}1  {c |}{col 27}{res}{space 2}-.0415181{col 39}{space 2} .0558087{col 50}{space 1}   -0.74{col 59}{space 3}0.466{col 67}{space 4} -.158327{col 80}{space 3} .0752908
{txt}{space 25} {c |}
{space 15}1.contrump {c |}{col 27}{res}{space 2} .1561528{col 39}{space 2} .2611293{col 50}{space 1}    0.60{col 59}{space 3}0.557{col 67}{space 4}-.3903971{col 80}{space 3} .7027028
{txt}{space 11}salience_ave_q {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 25} {c |}
contrump#c.salience_ave_q {c |}
{space 23}1  {c |}{col 27}{res}{space 2}-.0561963{col 39}{space 2} .0632227{col 50}{space 1}   -0.89{col 59}{space 3}0.385{col 67}{space 4}-.1885229{col 80}{space 3} .0761304
{txt}{space 25} {c |}
{space 13}salience_ave {c |}{col 27}{res}{space 2} .4605009{col 39}{space 2} .0255483{col 50}{space 1}   18.02{col 59}{space 3}0.000{col 67}{space 4} .4070276{col 80}{space 3} .5139742
{txt}{space 20}_cons {c |}{col 27}{res}{space 2}-1.674042{col 39}{space 2} .1113949{col 50}{space 1}  -15.03{col 59}{space 3}0.000{col 67}{space 4}-1.907194{col 80}{space 3} -1.44089
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. *Model 6
. areg Support i.Question i.libtrump##c.salience_ave_q i.contrump##c.salience_ave_q, absorb(caseid) cluster(Question)
{txt}note: {bf:salience_ave_q} omitted because of collinearity.
note: {bf:salience_ave_q} omitted because of collinearity.
{res}
{txt}{col 1}Linear regression, absorbing indicators{col 53}{lalign 17:Number of obs}{col 70} = {res}{ralign 6:20,604}
{txt}{col 1}Absorbed variable: {res:caseid}{col 53}{lalign 17:No. of categories}{col 70} = {res}{ralign 6:1,033}
{txt}{col 53}{lalign 17:{help j_robustsingular##|_new:F(19, 19)}}{col 70} = {res}{ralign 6:.}
{txt}{col 53}{lalign 17:Prob > F}{col 70} = {res}{ralign 6:.}
{txt}{col 53}{lalign 17:R-squared}{col 70} = {res}{ralign 6:0.4624}
{txt}{col 53}{lalign 17:Adj R-squared}{col 70} = {res}{ralign 6:0.4334}
{txt}{col 53}{lalign 17:Root MSE}{col 70} = {res}{ralign 6:0.6729}

{txt}{ralign 91:(Std. err. adjusted for {res:20} clusters in {res:Question})}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                  Support{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}Question {c |}
{space 10}"Tax Increase"  {c |}{col 27}{res}{space 2} .0871055{col 39}{space 2} .0073738{col 50}{space 1}   11.81{col 59}{space 3}0.000{col 67}{space 4} .0716719{col 80}{space 3} .1025392
{txt}{space 14}"Abortion"  {c |}{col 27}{res}{space 2} .1031855{col 39}{space 2} .0036148{col 50}{space 1}   28.55{col 59}{space 3}0.000{col 67}{space 4} .0956197{col 80}{space 3} .1107514
{txt}{space 11}"Immigration"  {c |}{col 27}{res}{space 2}-.2742756{col 39}{space 2} .0066009{col 50}{space 1}  -41.55{col 59}{space 3}0.000{col 67}{space 4}-.2880915{col 80}{space 3}-.2604597
{txt}{space 10} "School Guns"  {c |}{col 27}{res}{space 2}-.1799536{col 39}{space 2} .0099649{col 50}{space 1}  -18.06{col 59}{space 3}0.000{col 67}{space 4}-.2008104{col 80}{space 3}-.1590968
{txt}{space 11}"Health Care"  {c |}{col 27}{res}{space 2}-.1643353{col 39}{space 2} .0122851{col 50}{space 1}  -13.38{col 59}{space 3}0.000{col 67}{space 4}-.1900483{col 80}{space 3}-.1386223
{txt}{space 7}"Guns Background"  {c |}{col 27}{res}{space 2} .3558101{col 39}{space 2} .0101022{col 50}{space 1}   35.22{col 59}{space 3}0.000{col 67}{space 4} .3346661{col 80}{space 3} .3769542
{txt}{space 8}"Climate Change"  {c |}{col 27}{res}{space 2}-.0771936{col 39}{space 2} .0040596{col 50}{space 1}  -19.02{col 59}{space 3}0.000{col 67}{space 4}-.0856904{col 80}{space 3}-.0686969
{txt}{space 4}"Planned Parenthood"  {c |}{col 27}{res}{space 2}-.2526022{col 39}{space 2} .0070355{col 50}{space 1}  -35.90{col 59}{space 3}0.000{col 67}{space 4}-.2673278{col 80}{space 3}-.2378767
{txt}{space 11}"North Korea"  {c |}{col 27}{res}{space 2}-.4406035{col 39}{space 2} .0038486{col 50}{space 1} -114.48{col 59}{space 3}0.000{col 67}{space 4}-.4486588{col 80}{space 3}-.4325482
{txt}{space 10}"China Tarrif"  {c |}{col 27}{res}{space 2} -.440915{col 39}{space 2} .0021102{col 50}{space 1} -208.95{col 59}{space 3}0.000{col 67}{space 4}-.4453317{col 80}{space 3}-.4364983
{txt}{space 10}"Steel Tarrif"  {c |}{col 27}{res}{space 2}-.3172178{col 39}{space 2} .0020325{col 50}{space 1} -156.07{col 59}{space 3}0.000{col 67}{space 4}-.3214719{col 80}{space 3}-.3129638
{txt}{space 8}"Remove Mueller"  {c |}{col 27}{res}{space 2}-.1727501{col 39}{space 2} .0098048{col 50}{space 1}  -17.62{col 59}{space 3}0.000{col 67}{space 4}-.1932718{col 80}{space 3}-.1522284
{txt}{space 10}"Cut Medicare"  {c |}{col 27}{res}{space 2} .3779994{col 39}{space 2}   .00893{col 50}{space 1}   42.33{col 59}{space 3}0.000{col 67}{space 4} .3593087{col 80}{space 3} .3966902
{txt}{space 11}"Drug Prices"  {c |}{col 27}{res}{space 2} .2727583{col 39}{space 2} .0078874{col 50}{space 1}   34.58{col 59}{space 3}0.000{col 67}{space 4} .2562498{col 80}{space 3} .2892668
{txt}{space 11}"Food Stamps"  {c |}{col 27}{res}{space 2}-.5795389{col 39}{space 2} .0035331{col 50}{space 1} -164.03{col 59}{space 3}0.000{col 67}{space 4}-.5869338{col 80}{space 3} -.572144
{txt}{space 10}"Oil Drilling"  {c |}{col 27}{res}{space 2}-.3774373{col 39}{space 2} .0039273{col 50}{space 1}  -96.11{col 59}{space 3}0.000{col 67}{space 4}-.3856571{col 80}{space 3}-.3692174
{txt}{space 10}"Comey Unfair"  {c |}{col 27}{res}{space 2}-.4804379{col 39}{space 2} .0094954{col 50}{space 1}  -50.60{col 59}{space 3}0.000{col 67}{space 4} -.500312{col 80}{space 3}-.4605639
{txt}{space 11}"Puerto Rico"  {c |}{col 27}{res}{space 2} .0506721{col 39}{space 2} .0054378{col 50}{space 1}    9.32{col 59}{space 3}0.000{col 67}{space 4} .0392906{col 80}{space 3} .0620535
{txt}{space 10}"Support DACA"  {c |}{col 27}{res}{space 2}-.2584764{col 39}{space 2} .0068694{col 50}{space 1}  -37.63{col 59}{space 3}0.000{col 67}{space 4}-.2728543{col 80}{space 3}-.2440985
{txt}{space 25} {c |}
{space 15}1.libtrump {c |}{col 27}{res}{space 2} .2604616{col 39}{space 2} .2304953{col 50}{space 1}    1.13{col 59}{space 3}0.273{col 67}{space 4}-.2219706{col 80}{space 3} .7428938
{txt}{space 11}salience_ave_q {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 25} {c |}
libtrump#c.salience_ave_q {c |}
{space 23}1  {c |}{col 27}{res}{space 2}-.0420521{col 39}{space 2} .0543636{col 50}{space 1}   -0.77{col 59}{space 3}0.449{col 67}{space 4}-.1558363{col 80}{space 3} .0717322
{txt}{space 25} {c |}
{space 15}1.contrump {c |}{col 27}{res}{space 2} .1714704{col 39}{space 2} .1953806{col 50}{space 1}    0.88{col 59}{space 3}0.391{col 67}{space 4}-.2374658{col 80}{space 3} .5804066
{txt}{space 11}salience_ave_q {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 25} {c |}
contrump#c.salience_ave_q {c |}
{space 23}1  {c |}{col 27}{res}{space 2}-.0591334{col 39}{space 2}  .048018{col 50}{space 1}   -1.23{col 59}{space 3}0.233{col 67}{space 4}-.1596362{col 80}{space 3} .0413694
{txt}{space 25} {c |}
{space 20}_cons {c |}{col 27}{res}{space 2} .3897014{col 39}{space 2} .0068167{col 50}{space 1}   57.17{col 59}{space 3}0.000{col 67}{space 4}  .375434{col 80}{space 3} .4039689
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *Model 7
. regress Support i.libtrump##c.salience_ave_q i.contrump##c.salience_ave_q knowledge party_strength trump_favor ideo5b, cluster(Question)
{txt}{p 0 6 2}note: {bf:salience_ave_q} omitted because of collinearity.{p_end}

Linear regression                               Number of obs     = {res}    19,068
                                                {txt}F(9, 19)          =  {res}   210.69
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.3055
                                                {txt}Root MSE          =    {res} .75363

{txt}{ralign 91:(Std. err. adjusted for {res:20} clusters in {res:Question})}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                  Support{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}1.libtrump {c |}{col 27}{res}{space 2} .2835244{col 39}{space 2} .2625962{col 50}{space 1}    1.08{col 59}{space 3}0.294{col 67}{space 4}-.2660957{col 80}{space 3} .8331445
{txt}{space 11}salience_ave_q {c |}{col 27}{res}{space 2} .3995919{col 39}{space 2} .2055285{col 50}{space 1}    1.94{col 59}{space 3}0.067{col 67}{space 4}-.0305841{col 80}{space 3} .8297679
{txt}{space 25} {c |}
libtrump#c.salience_ave_q {c |}
{space 23}1  {c |}{col 27}{res}{space 2}-.0438881{col 39}{space 2}  .062583{col 50}{space 1}   -0.70{col 59}{space 3}0.492{col 67}{space 4}-.1748759{col 80}{space 3} .0870997
{txt}{space 25} {c |}
{space 15}1.contrump {c |}{col 27}{res}{space 2}  .060144{col 39}{space 2} .2182668{col 50}{space 1}    0.28{col 59}{space 3}0.786{col 67}{space 4}-.3966938{col 80}{space 3} .5169817
{txt}{space 11}salience_ave_q {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 25} {c |}
contrump#c.salience_ave_q {c |}
{space 23}1  {c |}{col 27}{res}{space 2}-.0303947{col 39}{space 2} .0533446{col 50}{space 1}   -0.57{col 59}{space 3}0.576{col 67}{space 4}-.1420461{col 80}{space 3} .0812568
{txt}{space 25} {c |}
{space 16}knowledge {c |}{col 27}{res}{space 2}-.0033111{col 39}{space 2} .0085328{col 50}{space 1}   -0.39{col 59}{space 3}0.702{col 67}{space 4}-.0211704{col 80}{space 3} .0145482
{txt}{space 11}party_strength {c |}{col 27}{res}{space 2} .0246869{col 39}{space 2} .0091143{col 50}{space 1}    2.71{col 59}{space 3}0.014{col 67}{space 4} .0056105{col 80}{space 3} .0437634
{txt}{space 14}trump_favor {c |}{col 27}{res}{space 2}-.2730557{col 39}{space 2} .0214208{col 50}{space 1}  -12.75{col 59}{space 3}0.000{col 67}{space 4}  -.31789{col 80}{space 3}-.2282214
{txt}{space 19}ideo5b {c |}{col 27}{res}{space 2}-.1321367{col 39}{space 2} .0120322{col 50}{space 1}  -10.98{col 59}{space 3}0.000{col 67}{space 4}-.1573205{col 80}{space 3} -.106953
{txt}{space 20}_cons {c |}{col 27}{res}{space 2}-.4580969{col 39}{space 2} .8851352{col 50}{space 1}   -0.52{col 59}{space 3}0.611{col 67}{space 4}-2.310706{col 80}{space 3} 1.394512
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. *Model 8
. areg Support i.libtrump##c.salience_ave_q i.contrump##c.salience_ave_q knowledge party_strength trump_favor ideo5b, absorb(Question) cluster(caseid)
{txt}note: {bf:salience_ave_q} omitted because of collinearity.
{txt}note: salience_ave_q omitted because of collinearity
{res}
{txt}{col 1}Linear regression, absorbing indicators{col 53}{lalign 17:Number of obs}{col 70} = {res}{ralign 6:19,068}
{txt}{col 1}Absorbed variable: {res:Question}{col 53}{lalign 17:No. of categories}{col 70} = {res}{ralign 6:20}
{txt}{col 53}{lalign 17:F({res:8}, {res:955})}{col 70} = {res}{ralign 6:473.39}
{txt}{col 53}{lalign 17:Prob > F}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 53}{lalign 17:R-squared}{col 70} = {res}{ralign 6:0.3809}
{txt}{col 53}{lalign 17:Adj R-squared}{col 70} = {res}{ralign 6:0.3800}
{txt}{col 53}{lalign 17:Root MSE}{col 70} = {res}{ralign 6:0.7119}

{txt}{ralign 91:(Std. err. adjusted for {res:956} clusters in {res:caseid})}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                  Support{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}1.libtrump {c |}{col 27}{res}{space 2} .2658692{col 39}{space 2} .1865536{col 50}{space 1}    1.43{col 59}{space 3}0.154{col 67}{space 4} -.100233{col 80}{space 3} .6319715
{txt}{space 11}salience_ave_q {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 25} {c |}
libtrump#c.salience_ave_q {c |}
{space 23}1  {c |}{col 27}{res}{space 2}-.0409712{col 39}{space 2} .0444065{col 50}{space 1}   -0.92{col 59}{space 3}0.356{col 67}{space 4}-.1281168{col 80}{space 3} .0461745
{txt}{space 25} {c |}
{space 15}1.contrump {c |}{col 27}{res}{space 2} .0764226{col 39}{space 2} .1826974{col 50}{space 1}    0.42{col 59}{space 3}0.676{col 67}{space 4} -.282112{col 80}{space 3} .4349573
{txt}{space 11}salience_ave_q {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 25} {c |}
contrump#c.salience_ave_q {c |}
{space 23}1  {c |}{col 27}{res}{space 2}-.0344324{col 39}{space 2} .0437708{col 50}{space 1}   -0.79{col 59}{space 3}0.432{col 67}{space 4}-.1203304{col 80}{space 3} .0514656
{txt}{space 25} {c |}
{space 16}knowledge {c |}{col 27}{res}{space 2}-.0033356{col 39}{space 2} .0046219{col 50}{space 1}   -0.72{col 59}{space 3}0.471{col 67}{space 4}-.0124059{col 80}{space 3} .0057347
{txt}{space 11}party_strength {c |}{col 27}{res}{space 2} .0246987{col 39}{space 2} .0086159{col 50}{space 1}    2.87{col 59}{space 3}0.004{col 67}{space 4} .0077904{col 80}{space 3}  .041607
{txt}{space 14}trump_favor {c |}{col 27}{res}{space 2}-.2730796{col 39}{space 2} .0106649{col 50}{space 1}  -25.61{col 59}{space 3}0.000{col 67}{space 4}-.2940089{col 80}{space 3}-.2521504
{txt}{space 19}ideo5b {c |}{col 27}{res}{space 2}-.1319999{col 39}{space 2} .0110536{col 50}{space 1}  -11.94{col 59}{space 3}0.000{col 67}{space 4}-.1536921{col 80}{space 3}-.1103077
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} 1.202428{col 39}{space 2} .0463013{col 50}{space 1}   25.97{col 59}{space 3}0.000{col 67}{space 4} 1.111564{col 80}{space 3} 1.293292
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. 
. 
. 
. **********************************************
. *TABLE A7: nonlinear interaction (break into three groups of roughly equal size)
. areg Support libtrump contrump if inlist(issue_salience, 1, 2, 3), absorb(caseid) cluster(Question)

{txt}{col 1}Linear regression, absorbing indicators{col 53}{lalign 17:Number of obs}{col 70} = {res}{ralign 6:4,076}
{txt}{col 1}Absorbed variable: {res:caseid}{col 53}{lalign 17:No. of categories}{col 70} = {res}{ralign 6:728}
{txt}{col 53}{lalign 17:F({res:2}, {res:19})}{col 70} = {res}{ralign 6:39.17}
{txt}{col 53}{lalign 17:Prob > F}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 53}{lalign 17:R-squared}{col 70} = {res}{ralign 6:0.3825}
{txt}{col 53}{lalign 17:Adj R-squared}{col 70} = {res}{ralign 6:0.2480}
{txt}{col 53}{lalign 17:Root MSE}{col 70} = {res}{ralign 6:0.7573}

{txt}{ralign 78:(Std. err. adjusted for {res:20} clusters in {res:Question})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     Support{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}libtrump {c |}{col 14}{res}{space 2} .1354992{col 26}{space 2} .0236567{col 37}{space 1}    5.73{col 46}{space 3}0.000{col 54}{space 4} .0859851{col 67}{space 3} .1850133
{txt}{space 4}contrump {c |}{col 14}{res}{space 2}-.0809055{col 26}{space 2} .0344625{col 37}{space 1}   -2.35{col 46}{space 3}0.030{col 54}{space 4}-.1530363{col 67}{space 3}-.0087747
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.1130062{col 26}{space 2}  .067204{col 37}{space 1}   -1.68{col 46}{space 3}0.109{col 54}{space 4}-.2536658{col 67}{space 3} .0276535
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. areg Support libtrump contrump if issue_salience == 4,absorb(caseid)  cluster(Question)

{txt}{col 1}Linear regression, absorbing indicators{col 53}{lalign 17:Number of obs}{col 70} = {res}{ralign 6:6,472}
{txt}{col 1}Absorbed variable: {res:caseid}{col 53}{lalign 17:No. of categories}{col 70} = {res}{ralign 6:951}
{txt}{col 53}{lalign 17:F({res:2}, {res:19})}{col 70} = {res}{ralign 6:43.95}
{txt}{col 53}{lalign 17:Prob > F}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 53}{lalign 17:R-squared}{col 70} = {res}{ralign 6:0.3896}
{txt}{col 53}{lalign 17:Adj R-squared}{col 70} = {res}{ralign 6:0.2843}
{txt}{col 53}{lalign 17:Root MSE}{col 70} = {res}{ralign 6:0.7549}

{txt}{ralign 78:(Std. err. adjusted for {res:20} clusters in {res:Question})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     Support{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}libtrump {c |}{col 14}{res}{space 2} .1154098{col 26}{space 2} .0255801{col 37}{space 1}    4.51{col 46}{space 3}0.000{col 54}{space 4} .0618701{col 67}{space 3} .1689496
{txt}{space 4}contrump {c |}{col 14}{res}{space 2}-.0882402{col 26}{space 2} .0245908{col 37}{space 1}   -3.59{col 46}{space 3}0.002{col 54}{space 4}-.1397094{col 67}{space 3} -.036771
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .2150059{col 26}{space 2}  .080125{col 37}{space 1}    2.68{col 46}{space 3}0.015{col 54}{space 4} .0473022{col 67}{space 3} .3827095
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. areg Support libtrump contrump if issue_salience == 5,absorb(caseid)  cluster(Question)

{txt}{col 1}Linear regression, absorbing indicators{col 53}{lalign 17:Number of obs}{col 70} = {res}{ralign 6:9,951}
{txt}{col 1}Absorbed variable: {res:caseid}{col 53}{lalign 17:No. of categories}{col 70} = {res}{ralign 6:975}
{txt}{col 53}{lalign 17:F({res:2}, {res:19})}{col 70} = {res}{ralign 6:20.45}
{txt}{col 53}{lalign 17:Prob > F}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 53}{lalign 17:R-squared}{col 70} = {res}{ralign 6:0.4425}
{txt}{col 53}{lalign 17:Adj R-squared}{col 70} = {res}{ralign 6:0.3818}
{txt}{col 53}{lalign 17:Root MSE}{col 70} = {res}{ralign 6:0.6756}

{txt}{ralign 78:(Std. err. adjusted for {res:20} clusters in {res:Question})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     Support{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}libtrump {c |}{col 14}{res}{space 2} .0690989{col 26}{space 2} .0198817{col 37}{space 1}    3.48{col 46}{space 3}0.003{col 54}{space 4} .0274861{col 67}{space 3} .1107118
{txt}{space 4}contrump {c |}{col 14}{res}{space 2}-.0599943{col 26}{space 2} .0166711{col 37}{space 1}   -3.60{col 46}{space 3}0.002{col 54}{space 4}-.0948872{col 67}{space 3}-.0251013
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .4169812{col 26}{space 2} .0604133{col 37}{space 1}    6.90{col 46}{space 3}0.000{col 54}{space 4} .2905348{col 67}{space 3} .5434277
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. areg Support i.Question libtrump contrump if inlist(issue_salience, 1, 2, 3), absorb(caseid) cluster(Question)
{res}
{txt}{col 1}Linear regression, absorbing indicators{col 53}{lalign 17:Number of obs}{col 70} = {res}{ralign 6:4,076}
{txt}{col 1}Absorbed variable: {res:caseid}{col 53}{lalign 17:No. of categories}{col 70} = {res}{ralign 6:728}
{txt}{col 53}{lalign 17:{help j_robustsingular##|_new:F(19, 19)}}{col 70} = {res}{ralign 6:.}
{txt}{col 53}{lalign 17:Prob > F}{col 70} = {res}{ralign 6:.}
{txt}{col 53}{lalign 17:R-squared}{col 70} = {res}{ralign 6:0.4664}
{txt}{col 53}{lalign 17:Adj R-squared}{col 70} = {res}{ralign 6:0.3464}
{txt}{col 53}{lalign 17:Root MSE}{col 70} = {res}{ralign 6:0.7058}

{txt}{ralign 87:(Std. err. adjusted for {res:20} clusters in {res:Question})}
{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}              Support{col 23}{c |} Coefficient{col 35}  std. err.{col 47}      t{col 55}   P>|t|{col 63}     [95% con{col 76}f. interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}Question {c |}
{space 6}"Tax Increase"  {c |}{col 23}{res}{space 2} .3777462{col 35}{space 2} .0543942{col 46}{space 1}    6.94{col 55}{space 3}0.000{col 63}{space 4} .2638977{col 76}{space 3} .4915946
{txt}{space 10}"Abortion"  {c |}{col 23}{res}{space 2}  .384561{col 35}{space 2} .0351386{col 46}{space 1}   10.94{col 55}{space 3}0.000{col 63}{space 4} .3110152{col 76}{space 3} .4581069
{txt}{space 7}"Immigration"  {c |}{col 23}{res}{space 2}-.0801467{col 35}{space 2} .0629573{col 46}{space 1}   -1.27{col 55}{space 3}0.218{col 63}{space 4}-.2119177{col 76}{space 3} .0516244
{txt}{space 6} "School Guns"  {c |}{col 23}{res}{space 2} .0669483{col 35}{space 2} .0500892{col 46}{space 1}    1.34{col 55}{space 3}0.197{col 63}{space 4}-.0378895{col 76}{space 3} .1717861
{txt}{space 7}"Health Care"  {c |}{col 23}{res}{space 2} -.019004{col 35}{space 2} .0348308{col 46}{space 1}   -0.55{col 55}{space 3}0.592{col 63}{space 4}-.0919058{col 76}{space 3} .0538978
{txt}{space 3}"Guns Background"  {c |}{col 23}{res}{space 2} .6455142{col 35}{space 2} .0499821{col 46}{space 1}   12.91{col 55}{space 3}0.000{col 63}{space 4} .5409005{col 76}{space 3}  .750128
{txt}{space 4}"Climate Change"  {c |}{col 23}{res}{space 2}-.1495929{col 35}{space 2} .0161815{col 46}{space 1}   -9.24{col 55}{space 3}0.000{col 63}{space 4}-.1834612{col 76}{space 3}-.1157245
{txt}"Planned Parenthood"  {c |}{col 23}{res}{space 2}-.2792989{col 35}{space 2} .0145415{col 46}{space 1}  -19.21{col 55}{space 3}0.000{col 63}{space 4}-.3097345{col 76}{space 3}-.2488632
{txt}{space 7}"North Korea"  {c |}{col 23}{res}{space 2}-.2482733{col 35}{space 2} .0468649{col 46}{space 1}   -5.30{col 55}{space 3}0.000{col 63}{space 4}-.3463627{col 76}{space 3} -.150184
{txt}{space 6}"China Tarrif"  {c |}{col 23}{res}{space 2}-.1703202{col 35}{space 2} .0495695{col 46}{space 1}   -3.44{col 55}{space 3}0.003{col 63}{space 4}-.2740703{col 76}{space 3}  -.06657
{txt}{space 6}"Steel Tarrif"  {c |}{col 23}{res}{space 2}-.0700852{col 35}{space 2} .0501133{col 46}{space 1}   -1.40{col 55}{space 3}0.178{col 63}{space 4}-.1749735{col 76}{space 3} .0348032
{txt}{space 4}"Remove Mueller"  {c |}{col 23}{res}{space 2}-.0303564{col 35}{space 2} .0244413{col 46}{space 1}   -1.24{col 55}{space 3}0.229{col 63}{space 4}-.0815127{col 76}{space 3} .0207999
{txt}{space 6}"Cut Medicare"  {c |}{col 23}{res}{space 2} .4620442{col 35}{space 2} .0208502{col 46}{space 1}   22.16{col 55}{space 3}0.000{col 63}{space 4} .4184043{col 76}{space 3} .5056841
{txt}{space 7}"Drug Prices"  {c |}{col 23}{res}{space 2} .3488066{col 35}{space 2} .0248773{col 46}{space 1}   14.02{col 55}{space 3}0.000{col 63}{space 4} .2967377{col 76}{space 3} .4008755
{txt}{space 7}"Food Stamps"  {c |}{col 23}{res}{space 2}-.4693471{col 35}{space 2} .0269332{col 46}{space 1}  -17.43{col 55}{space 3}0.000{col 63}{space 4}-.5257191{col 76}{space 3}-.4129752
{txt}{space 6}"Oil Drilling"  {c |}{col 23}{res}{space 2}-.3244188{col 35}{space 2} .0160757{col 46}{space 1}  -20.18{col 55}{space 3}0.000{col 63}{space 4}-.3580656{col 76}{space 3} -.290772
{txt}{space 6}"Comey Unfair"  {c |}{col 23}{res}{space 2}-.4101898{col 35}{space 2} .0247268{col 46}{space 1}  -16.59{col 55}{space 3}0.000{col 63}{space 4}-.4619436{col 76}{space 3}-.3584361
{txt}{space 7}"Puerto Rico"  {c |}{col 23}{res}{space 2} .0916321{col 35}{space 2} .0251373{col 46}{space 1}    3.65{col 55}{space 3}0.002{col 63}{space 4} .0390192{col 76}{space 3}  .144245
{txt}{space 6}"Support DACA"  {c |}{col 23}{res}{space 2} .0065114{col 35}{space 2} .0631128{col 46}{space 1}    0.10{col 55}{space 3}0.919{col 63}{space 4}-.1255853{col 76}{space 3}  .138608
{txt}{space 21} {c |}
{space 13}libtrump {c |}{col 23}{res}{space 2}  .139318{col 35}{space 2} .0217771{col 46}{space 1}    6.40{col 55}{space 3}0.000{col 63}{space 4} .0937379{col 76}{space 3}  .184898
{txt}{space 13}contrump {c |}{col 23}{res}{space 2}-.0827898{col 35}{space 2} .0318534{col 46}{space 1}   -2.60{col 55}{space 3}0.018{col 63}{space 4}-.1494597{col 76}{space 3}-.0161199
{txt}{space 16}_cons {c |}{col 23}{res}{space 2}-.0569432{col 35}{space 2}  .029582{col 46}{space 1}   -1.92{col 55}{space 3}0.069{col 63}{space 4}-.1188591{col 76}{space 3} .0049727
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. areg Support i.Question libtrump contrump if issue_salience == 4,absorb(caseid)  cluster(Question)
{res}
{txt}{col 1}Linear regression, absorbing indicators{col 53}{lalign 17:Number of obs}{col 70} = {res}{ralign 6:6,472}
{txt}{col 1}Absorbed variable: {res:caseid}{col 53}{lalign 17:No. of categories}{col 70} = {res}{ralign 6:951}
{txt}{col 53}{lalign 17:{help j_robustsingular##|_new:F(19, 19)}}{col 70} = {res}{ralign 6:.}
{txt}{col 53}{lalign 17:Prob > F}{col 70} = {res}{ralign 6:.}
{txt}{col 53}{lalign 17:R-squared}{col 70} = {res}{ralign 6:0.5011}
{txt}{col 53}{lalign 17:Adj R-squared}{col 70} = {res}{ralign 6:0.4131}
{txt}{col 53}{lalign 17:Root MSE}{col 70} = {res}{ralign 6:0.6835}

{txt}{ralign 87:(Std. err. adjusted for {res:20} clusters in {res:Question})}
{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}              Support{col 23}{c |} Coefficient{col 35}  std. err.{col 47}      t{col 55}   P>|t|{col 63}     [95% con{col 76}f. interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}Question {c |}
{space 6}"Tax Increase"  {c |}{col 23}{res}{space 2}  .053996{col 35}{space 2} .0180293{col 46}{space 1}    2.99{col 55}{space 3}0.007{col 63}{space 4} .0162602{col 76}{space 3} .0917317
{txt}{space 10}"Abortion"  {c |}{col 23}{res}{space 2} .1591555{col 35}{space 2} .0201515{col 46}{space 1}    7.90{col 55}{space 3}0.000{col 63}{space 4} .1169779{col 76}{space 3} .2013331
{txt}{space 7}"Immigration"  {c |}{col 23}{res}{space 2}-.3418793{col 35}{space 2} .0286822{col 46}{space 1}  -11.92{col 55}{space 3}0.000{col 63}{space 4}-.4019118{col 76}{space 3}-.2818468
{txt}{space 6} "School Guns"  {c |}{col 23}{res}{space 2}-.3325066{col 35}{space 2} .0197377{col 46}{space 1}  -16.85{col 55}{space 3}0.000{col 63}{space 4}-.3738181{col 76}{space 3}-.2911951
{txt}{space 7}"Health Care"  {c |}{col 23}{res}{space 2}-.4629686{col 35}{space 2} .0201899{col 46}{space 1}  -22.93{col 55}{space 3}0.000{col 63}{space 4}-.5052266{col 76}{space 3}-.4207106
{txt}{space 3}"Guns Background"  {c |}{col 23}{res}{space 2} .3513048{col 35}{space 2}  .019917{col 46}{space 1}   17.64{col 55}{space 3}0.000{col 63}{space 4}  .309618{col 76}{space 3} .3929917
{txt}{space 4}"Climate Change"  {c |}{col 23}{res}{space 2} -.182175{col 35}{space 2} .0169323{col 46}{space 1}  -10.76{col 55}{space 3}0.000{col 63}{space 4}-.2176147{col 76}{space 3}-.1467354
{txt}"Planned Parenthood"  {c |}{col 23}{res}{space 2}-.5000328{col 35}{space 2} .0179024{col 46}{space 1}  -27.93{col 55}{space 3}0.000{col 63}{space 4} -.537503{col 76}{space 3}-.4625626
{txt}{space 7}"North Korea"  {c |}{col 23}{res}{space 2}-.4271396{col 35}{space 2} .0162774{col 46}{space 1}  -26.24{col 55}{space 3}0.000{col 63}{space 4}-.4612087{col 76}{space 3}-.3930706
{txt}{space 6}"China Tarrif"  {c |}{col 23}{res}{space 2}-.5505065{col 35}{space 2} .0129293{col 46}{space 1}  -42.58{col 55}{space 3}0.000{col 63}{space 4}-.5775678{col 76}{space 3}-.5234452
{txt}{space 6}"Steel Tarrif"  {c |}{col 23}{res}{space 2}-.4264112{col 35}{space 2} .0131073{col 46}{space 1}  -32.53{col 55}{space 3}0.000{col 63}{space 4}-.4538451{col 76}{space 3}-.3989773
{txt}{space 4}"Remove Mueller"  {c |}{col 23}{res}{space 2}-.2462069{col 35}{space 2} .0174174{col 46}{space 1}  -14.14{col 55}{space 3}0.000{col 63}{space 4}-.2826619{col 76}{space 3} -.209752
{txt}{space 6}"Cut Medicare"  {c |}{col 23}{res}{space 2} .2598041{col 35}{space 2} .0188639{col 46}{space 1}   13.77{col 55}{space 3}0.000{col 63}{space 4} .2203215{col 76}{space 3} .2992867
{txt}{space 7}"Drug Prices"  {c |}{col 23}{res}{space 2} .1950776{col 35}{space 2} .0185384{col 46}{space 1}   10.52{col 55}{space 3}0.000{col 63}{space 4} .1562763{col 76}{space 3} .2338788
{txt}{space 7}"Food Stamps"  {c |}{col 23}{res}{space 2}-.7391607{col 35}{space 2} .0139916{col 46}{space 1}  -52.83{col 55}{space 3}0.000{col 63}{space 4}-.7684454{col 76}{space 3} -.709876
{txt}{space 6}"Oil Drilling"  {c |}{col 23}{res}{space 2}-.6536805{col 35}{space 2} .0163018{col 46}{space 1}  -40.10{col 55}{space 3}0.000{col 63}{space 4}-.6878006{col 76}{space 3}-.6195605
{txt}{space 6}"Comey Unfair"  {c |}{col 23}{res}{space 2}-.5233319{col 35}{space 2} .0170929{col 46}{space 1}  -30.62{col 55}{space 3}0.000{col 63}{space 4}-.5591078{col 76}{space 3}-.4875559
{txt}{space 7}"Puerto Rico"  {c |}{col 23}{res}{space 2} .0892754{col 35}{space 2} .0175803{col 46}{space 1}    5.08{col 55}{space 3}0.000{col 63}{space 4} .0524794{col 76}{space 3} .1260713
{txt}{space 6}"Support DACA"  {c |}{col 23}{res}{space 2}-.2839818{col 35}{space 2} .0292488{col 46}{space 1}   -9.71{col 55}{space 3}0.000{col 63}{space 4}-.3452002{col 76}{space 3}-.2227634
{txt}{space 21} {c |}
{space 13}libtrump {c |}{col 23}{res}{space 2} .1196791{col 35}{space 2} .0235002{col 46}{space 1}    5.09{col 55}{space 3}0.000{col 63}{space 4} .0704926{col 76}{space 3} .1688656
{txt}{space 13}contrump {c |}{col 23}{res}{space 2}-.0808064{col 35}{space 2} .0257417{col 46}{space 1}   -3.14{col 55}{space 3}0.005{col 63}{space 4}-.1346844{col 76}{space 3}-.0269285
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} .4565367{col 35}{space 2} .0172658{col 46}{space 1}   26.44{col 55}{space 3}0.000{col 63}{space 4}  .420399{col 76}{space 3} .4926744
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. areg Support i.Question libtrump contrump if issue_salience == 5,absorb(caseid)  cluster(Question)
{res}
{txt}{col 1}Linear regression, absorbing indicators{col 53}{lalign 17:Number of obs}{col 70} = {res}{ralign 6:9,951}
{txt}{col 1}Absorbed variable: {res:caseid}{col 53}{lalign 17:No. of categories}{col 70} = {res}{ralign 6:975}
{txt}{col 53}{lalign 17:{help j_robustsingular##|_new:F(19, 19)}}{col 70} = {res}{ralign 6:.}
{txt}{col 53}{lalign 17:Prob > F}{col 70} = {res}{ralign 6:.}
{txt}{col 53}{lalign 17:R-squared}{col 70} = {res}{ralign 6:0.5170}
{txt}{col 53}{lalign 17:Adj R-squared}{col 70} = {res}{ralign 6:0.4633}
{txt}{col 53}{lalign 17:Root MSE}{col 70} = {res}{ralign 6:0.6295}

{txt}{ralign 87:(Std. err. adjusted for {res:20} clusters in {res:Question})}
{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}              Support{col 23}{c |} Coefficient{col 35}  std. err.{col 47}      t{col 55}   P>|t|{col 63}     [95% con{col 76}f. interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}Question {c |}
{space 6}"Tax Increase"  {c |}{col 23}{res}{space 2}-.0539394{col 35}{space 2} .0371027{col 46}{space 1}   -1.45{col 55}{space 3}0.162{col 63}{space 4}-.1315961{col 76}{space 3} .0237174
{txt}{space 10}"Abortion"  {c |}{col 23}{res}{space 2}-.1039191{col 35}{space 2} .0241052{col 46}{space 1}   -4.31{col 55}{space 3}0.000{col 63}{space 4}-.1543718{col 76}{space 3}-.0534663
{txt}{space 7}"Immigration"  {c |}{col 23}{res}{space 2}-.3714767{col 35}{space 2} .0457735{col 46}{space 1}   -8.12{col 55}{space 3}0.000{col 63}{space 4}-.4672817{col 76}{space 3}-.2756716
{txt}{space 6} "School Guns"  {c |}{col 23}{res}{space 2}-.2732749{col 35}{space 2} .0290791{col 46}{space 1}   -9.40{col 55}{space 3}0.000{col 63}{space 4}-.3341381{col 76}{space 3}-.2124117
{txt}{space 7}"Health Care"  {c |}{col 23}{res}{space 2}-.2353551{col 35}{space 2} .0224868{col 46}{space 1}  -10.47{col 55}{space 3}0.000{col 63}{space 4}-.2824205{col 76}{space 3}-.1882897
{txt}{space 3}"Guns Background"  {c |}{col 23}{res}{space 2} .1946095{col 35}{space 2} .0293043{col 46}{space 1}    6.64{col 55}{space 3}0.000{col 63}{space 4} .1332748{col 76}{space 3} .2559441
{txt}{space 4}"Climate Change"  {c |}{col 23}{res}{space 2}-.0888915{col 35}{space 2} .0116897{col 46}{space 1}   -7.60{col 55}{space 3}0.000{col 63}{space 4}-.1133584{col 76}{space 3}-.0644247
{txt}"Planned Parenthood"  {c |}{col 23}{res}{space 2}-.2413932{col 35}{space 2}  .013667{col 46}{space 1}  -17.66{col 55}{space 3}0.000{col 63}{space 4}-.2699985{col 76}{space 3}-.2127878
{txt}{space 7}"North Korea"  {c |}{col 23}{res}{space 2}-.5706573{col 35}{space 2} .0495809{col 46}{space 1}  -11.51{col 55}{space 3}0.000{col 63}{space 4}-.6744313{col 76}{space 3}-.4668833
{txt}{space 6}"China Tarrif"  {c |}{col 23}{res}{space 2}-.5041111{col 35}{space 2} .0447099{col 46}{space 1}  -11.28{col 55}{space 3}0.000{col 63}{space 4}-.5976901{col 76}{space 3}-.4105321
{txt}{space 6}"Steel Tarrif"  {c |}{col 23}{res}{space 2}-.3545604{col 35}{space 2} .0446204{col 46}{space 1}   -7.95{col 55}{space 3}0.000{col 63}{space 4}-.4479519{col 76}{space 3}-.2611688
{txt}{space 4}"Remove Mueller"  {c |}{col 23}{res}{space 2}-.1316375{col 35}{space 2} .0132491{col 46}{space 1}   -9.94{col 55}{space 3}0.000{col 63}{space 4}-.1593682{col 76}{space 3}-.1039068
{txt}{space 6}"Cut Medicare"  {c |}{col 23}{res}{space 2} .2626398{col 35}{space 2} .0265185{col 46}{space 1}    9.90{col 55}{space 3}0.000{col 63}{space 4}  .207136{col 76}{space 3} .3181436
{txt}{space 7}"Drug Prices"  {c |}{col 23}{res}{space 2} .1612585{col 35}{space 2} .0273802{col 46}{space 1}    5.89{col 55}{space 3}0.000{col 63}{space 4}  .103951{col 76}{space 3}  .218566
{txt}{space 7}"Food Stamps"  {c |}{col 23}{res}{space 2}-.5754349{col 35}{space 2}  .013067{col 46}{space 1}  -44.04{col 55}{space 3}0.000{col 63}{space 4}-.6027844{col 76}{space 3}-.5480854
{txt}{space 6}"Oil Drilling"  {c |}{col 23}{res}{space 2}-.3446225{col 35}{space 2} .0116058{col 46}{space 1}  -29.69{col 55}{space 3}0.000{col 63}{space 4}-.3689138{col 76}{space 3}-.3203312
{txt}{space 6}"Comey Unfair"  {c |}{col 23}{res}{space 2}-.3861444{col 35}{space 2} .0128122{col 46}{space 1}  -30.14{col 55}{space 3}0.000{col 63}{space 4}-.4129606{col 76}{space 3}-.3593281
{txt}{space 7}"Puerto Rico"  {c |}{col 23}{res}{space 2} .0501617{col 35}{space 2}  .014143{col 46}{space 1}    3.55{col 55}{space 3}0.002{col 63}{space 4} .0205601{col 76}{space 3} .0797633
{txt}{space 6}"Support DACA"  {c |}{col 23}{res}{space 2}-.3896397{col 35}{space 2} .0457075{col 46}{space 1}   -8.52{col 55}{space 3}0.000{col 63}{space 4}-.4853066{col 76}{space 3}-.2939729
{txt}{space 21} {c |}
{space 13}libtrump {c |}{col 23}{res}{space 2} .0544759{col 35}{space 2} .0204895{col 46}{space 1}    2.66{col 55}{space 3}0.016{col 63}{space 4} .0115909{col 76}{space 3} .0973609
{txt}{space 13}contrump {c |}{col 23}{res}{space 2}-.0636043{col 35}{space 2} .0162756{col 46}{space 1}   -3.91{col 55}{space 3}0.001{col 63}{space 4}-.0976694{col 76}{space 3}-.0295392
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} .5960611{col 35}{space 2} .0263454{col 46}{space 1}   22.62{col 55}{space 3}0.000{col 63}{space 4} .5409196{col 76}{space 3} .6512025
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. 
. 
. **********************************************
. *TABLE A8: Results with Subsets of Importance - By Within-Respondent Issue Importance Variation
. bys caseid: egen salience_sd = sd(issue_salience)
{txt}
{com}. sum salience_sd if first_obs == 1, d

                         {txt}salience_sd
{hline 61}
      Percentiles      Smallest
 1%    {res}        0              0
{txt} 5%    {res} .2236068              0
{txt}10%    {res} .3663476              0       {txt}Obs         {res}      1,627
{txt}25%    {res} .5026247              0       {txt}Sum of wgt. {res}      1,627

{txt}50%    {res} .7451598                      {txt}Mean          {res} .7791442
                        {txt}Largest       Std. dev.     {res} .3839664
{txt}75%    {res}  1.03999       1.957442
{txt}90%    {res} 1.301821       1.997367       {txt}Variance      {res} .1474302
{txt}95%    {res} 1.431782       2.010499       {txt}Skewness      {res} .2907384
{txt}99%    {res} 1.761429       2.051957       {txt}Kurtosis      {res} 2.911265
{txt}
{com}. 
. *nonlinear interaction (break into three groups of roughly equal size based on salience variation)
. regress Support libtrump contrump if salience_sd < .503, absorb(caseid) cluster(caseid)

{txt}Linear regression, absorbing indicators         Number of obs     = {res}     6,430
                                                {txt}{help j_robustsingular:F(1, 306) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.3309
                                                {txt}Adj R-squared     = {res}    0.2972
                                                {txt}Root MSE          =    {res} .63754

{txt}{ralign 78:(Std. err. adjusted for {res:307} clusters in {res:caseid})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     Support{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}libtrump {c |}{col 14}{res}{space 2}-.0025803{col 26}{space 2} .0211175{col 37}{space 1}   -0.12{col 46}{space 3}0.903{col 54}{space 4}-.0441342{col 67}{space 3} .0389736
{txt}{space 4}contrump {c |}{col 14}{res}{space 2}-.0583855{col 26}{space 2} .0199217{col 37}{space 1}   -2.93{col 46}{space 3}0.004{col 54}{space 4}-.0975864{col 67}{space 3}-.0191847
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .5694397{col 26}{space 2}   .01099{col 37}{space 1}   51.81{col 46}{space 3}0.000{col 54}{space 4} .5478142{col 67}{space 3} .5910652
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. regress Support libtrump contrump if salience_sd >= .503 & salience_sd < 1.04, absorb(caseid) cluster(caseid)

{txt}Linear regression, absorbing indicators         Number of obs     = {res}    10,309
                                                {txt}{help j_robustsingular:F(1, 491) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.3381
                                                {txt}Adj R-squared     = {res}    0.3048
                                                {txt}Root MSE          =    {res} .73843

{txt}{ralign 78:(Std. err. adjusted for {res:492} clusters in {res:caseid})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     Support{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}libtrump {c |}{col 14}{res}{space 2} .0976614{col 26}{space 2} .0215855{col 37}{space 1}    4.52{col 46}{space 3}0.000{col 54}{space 4}   .05525{col 67}{space 3} .1400728
{txt}{space 4}contrump {c |}{col 14}{res}{space 2}-.0697897{col 26}{space 2} .0193177{col 37}{space 1}   -3.61{col 46}{space 3}0.000{col 54}{space 4}-.1077452{col 67}{space 3}-.0318341
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .2495645{col 26}{space 2} .0112151{col 37}{space 1}   22.25{col 46}{space 3}0.000{col 54}{space 4}  .227529{col 67}{space 3} .2715999
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. regress Support libtrump contrump if salience_sd >= 1.04, absorb(caseid) cluster(caseid)

{txt}Linear regression, absorbing indicators         Number of obs     = {res}     4,896
                                                {txt}{help j_robustsingular:F(1, 233) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.2845
                                                {txt}Adj R-squared     = {res}    0.2484
                                                {txt}Root MSE          =    {res} .79731

{txt}{ralign 78:(Std. err. adjusted for {res:234} clusters in {res:caseid})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     Support{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}libtrump {c |}{col 14}{res}{space 2} .1984599{col 26}{space 2}  .035038{col 37}{space 1}    5.66{col 46}{space 3}0.000{col 54}{space 4} .1294282{col 67}{space 3} .2674917
{txt}{space 4}contrump {c |}{col 14}{res}{space 2}-.1147165{col 26}{space 2} .0306329{col 37}{space 1}   -3.74{col 46}{space 3}0.000{col 54}{space 4}-.1750694{col 67}{space 3}-.0543636
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.1787303{col 26}{space 2} .0178898{col 37}{space 1}   -9.99{col 46}{space 3}0.000{col 54}{space 4}-.2139766{col 67}{space 3}-.1434839
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. regress Support i.Question libtrump contrump if salience_sd < .503, absorb(caseid) cluster(caseid)

{txt}Linear regression, absorbing indicators         Number of obs     = {res}     6,430
                                                {txt}{help j_robustsingular:F(21, 306) }       =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.4123
                                                {txt}Adj R-squared     = {res}    0.3807
                                                {txt}Root MSE          =    {res} .59848

{txt}{ralign 87:(Std. err. adjusted for {res:307} clusters in {res:caseid})}
{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}              Support{col 23}{c |} Coefficient{col 35}  std. err.{col 47}      t{col 55}   P>|t|{col 63}     [95% con{col 76}f. interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}Question {c |}
{space 6}"Tax Increase"  {c |}{col 23}{res}{space 2} .0077124{col 35}{space 2} .0324069{col 46}{space 1}    0.24{col 55}{space 3}0.812{col 63}{space 4}-.0560561{col 76}{space 3} .0714809
{txt}{space 10}"Abortion"  {c |}{col 23}{res}{space 2}-.0323658{col 35}{space 2}  .045931{col 46}{space 1}   -0.70{col 55}{space 3}0.482{col 63}{space 4}-.1227463{col 76}{space 3} .0580148
{txt}{space 7}"Immigration"  {c |}{col 23}{res}{space 2}-.2960254{col 35}{space 2} .0464824{col 46}{space 1}   -6.37{col 55}{space 3}0.000{col 63}{space 4}-.3874911{col 76}{space 3}-.2045598
{txt}{space 6} "School Guns"  {c |}{col 23}{res}{space 2}-.1602547{col 35}{space 2} .0482836{col 46}{space 1}   -3.32{col 55}{space 3}0.001{col 63}{space 4}-.2552646{col 76}{space 3}-.0652449
{txt}{space 7}"Health Care"  {c |}{col 23}{res}{space 2}-.1947441{col 35}{space 2} .0413153{col 46}{space 1}   -4.71{col 55}{space 3}0.000{col 63}{space 4}-.2760422{col 76}{space 3} -.113446
{txt}{space 3}"Guns Background"  {c |}{col 23}{res}{space 2} .1627196{col 35}{space 2}  .035752{col 46}{space 1}    4.55{col 55}{space 3}0.000{col 63}{space 4} .0923687{col 76}{space 3} .2330705
{txt}{space 4}"Climate Change"  {c |}{col 23}{res}{space 2}-.0957762{col 35}{space 2} .0422251{col 46}{space 1}   -2.27{col 55}{space 3}0.024{col 63}{space 4}-.1788644{col 76}{space 3}-.0126879
{txt}"Planned Parenthood"  {c |}{col 23}{res}{space 2}-.2088409{col 35}{space 2} .0432251{col 46}{space 1}   -4.83{col 55}{space 3}0.000{col 63}{space 4}-.2938969{col 76}{space 3}-.1237848
{txt}{space 7}"North Korea"  {c |}{col 23}{res}{space 2}-.5852989{col 35}{space 2} .0602906{col 46}{space 1}   -9.71{col 55}{space 3}0.000{col 63}{space 4}-.7039356{col 76}{space 3}-.4666622
{txt}{space 6}"China Tarrif"  {c |}{col 23}{res}{space 2}-.5429934{col 35}{space 2} .0580823{col 46}{space 1}   -9.35{col 55}{space 3}0.000{col 63}{space 4}-.6572848{col 76}{space 3}-.4287021
{txt}{space 6}"Steel Tarrif"  {c |}{col 23}{res}{space 2}-.3704033{col 35}{space 2} .0558138{col 46}{space 1}   -6.64{col 55}{space 3}0.000{col 63}{space 4}-.4802307{col 76}{space 3}-.2605758
{txt}{space 4}"Remove Mueller"  {c |}{col 23}{res}{space 2}-.1246533{col 35}{space 2} .0465363{col 46}{space 1}   -2.68{col 55}{space 3}0.008{col 63}{space 4}-.2162249{col 76}{space 3}-.0330818
{txt}{space 6}"Cut Medicare"  {c |}{col 23}{res}{space 2} .1079258{col 35}{space 2}  .041686{col 46}{space 1}    2.59{col 55}{space 3}0.010{col 63}{space 4} .0258984{col 76}{space 3} .1899533
{txt}{space 7}"Drug Prices"  {c |}{col 23}{res}{space 2} .0374793{col 35}{space 2}  .040757{col 46}{space 1}    0.92{col 55}{space 3}0.359{col 63}{space 4}-.0427201{col 76}{space 3} .1176786
{txt}{space 7}"Food Stamps"  {c |}{col 23}{res}{space 2}-.5940299{col 35}{space 2} .0596825{col 46}{space 1}   -9.95{col 55}{space 3}0.000{col 63}{space 4}-.7114699{col 76}{space 3}  -.47659
{txt}{space 6}"Oil Drilling"  {c |}{col 23}{res}{space 2}-.3799544{col 35}{space 2} .0512615{col 46}{space 1}   -7.41{col 55}{space 3}0.000{col 63}{space 4}-.4808239{col 76}{space 3}-.2790848
{txt}{space 6}"Comey Unfair"  {c |}{col 23}{res}{space 2}-.3734235{col 35}{space 2} .0509226{col 46}{space 1}   -7.33{col 55}{space 3}0.000{col 63}{space 4}-.4736262{col 76}{space 3}-.2732208
{txt}{space 7}"Puerto Rico"  {c |}{col 23}{res}{space 2} .0164028{col 35}{space 2}  .041566{col 46}{space 1}    0.39{col 55}{space 3}0.693{col 63}{space 4}-.0653886{col 76}{space 3} .0981943
{txt}{space 5}"Allow Torture"  {c |}{col 23}{res}{space 2}-.2673505{col 35}{space 2} .0466513{col 46}{space 1}   -5.73{col 55}{space 3}0.000{col 63}{space 4}-.3591485{col 76}{space 3}-.1755526
{txt}{space 6}"Support DACA"  {c |}{col 23}{res}{space 2}-.2542212{col 35}{space 2} .0461549{col 46}{space 1}   -5.51{col 55}{space 3}0.000{col 63}{space 4}-.3450423{col 76}{space 3}-.1634002
{txt}{space 21} {c |}
{space 13}libtrump {c |}{col 23}{res}{space 2}-.0071479{col 35}{space 2} .0201084{col 46}{space 1}   -0.36{col 55}{space 3}0.722{col 63}{space 4}-.0467161{col 76}{space 3} .0324204
{txt}{space 13}contrump {c |}{col 23}{res}{space 2}  -.04878{col 35}{space 2} .0182724{col 46}{space 1}   -2.67{col 55}{space 3}0.008{col 63}{space 4}-.0847356{col 76}{space 3}-.0128245
{txt}{space 16}_cons {c |}{col 23}{res}{space 2}  .765354{col 35}{space 2} .0341073{col 46}{space 1}   22.44{col 55}{space 3}0.000{col 63}{space 4} .6982394{col 76}{space 3} .8324686
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. regress Support i.Question libtrump contrump if salience_sd >= .503 & salience_sd < 1.04, absorb(caseid) cluster(caseid)

{txt}Linear regression, absorbing indicators         Number of obs     = {res}    10,309
                                                {txt}{help j_robustsingular:F(21, 491) }       =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.4418
                                                {txt}Adj R-squared     = {res}    0.4126
                                                {txt}Root MSE          =    {res}  .6788

{txt}{ralign 87:(Std. err. adjusted for {res:492} clusters in {res:caseid})}
{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}              Support{col 23}{c |} Coefficient{col 35}  std. err.{col 47}      t{col 55}   P>|t|{col 63}     [95% con{col 76}f. interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}Question {c |}
{space 6}"Tax Increase"  {c |}{col 23}{res}{space 2} .0578073{col 35}{space 2} .0379897{col 46}{space 1}    1.52{col 55}{space 3}0.129{col 63}{space 4}-.0168352{col 76}{space 3} .1324498
{txt}{space 10}"Abortion"  {c |}{col 23}{res}{space 2} .1000172{col 35}{space 2} .0459781{col 46}{space 1}    2.18{col 55}{space 3}0.030{col 63}{space 4} .0096792{col 76}{space 3} .1903553
{txt}{space 7}"Immigration"  {c |}{col 23}{res}{space 2}-.2952224{col 35}{space 2} .0461123{col 46}{space 1}   -6.40{col 55}{space 3}0.000{col 63}{space 4}-.3858243{col 76}{space 3}-.2046206
{txt}{space 6} "School Guns"  {c |}{col 23}{res}{space 2}-.2267885{col 35}{space 2} .0441173{col 46}{space 1}   -5.14{col 55}{space 3}0.000{col 63}{space 4}-.3134705{col 76}{space 3}-.1401066
{txt}{space 7}"Health Care"  {c |}{col 23}{res}{space 2} -.201047{col 35}{space 2} .0403494{col 46}{space 1}   -4.98{col 55}{space 3}0.000{col 63}{space 4}-.2803258{col 76}{space 3}-.1217682
{txt}{space 3}"Guns Background"  {c |}{col 23}{res}{space 2} .3672066{col 35}{space 2} .0379463{col 46}{space 1}    9.68{col 55}{space 3}0.000{col 63}{space 4} .2926495{col 76}{space 3} .4417636
{txt}{space 4}"Climate Change"  {c |}{col 23}{res}{space 2}-.0764993{col 35}{space 2} .0391381{col 46}{space 1}   -1.95{col 55}{space 3}0.051{col 63}{space 4}-.1533981{col 76}{space 3} .0003994
{txt}"Planned Parenthood"  {c |}{col 23}{res}{space 2}-.2798733{col 35}{space 2} .0419165{col 46}{space 1}   -6.68{col 55}{space 3}0.000{col 63}{space 4}-.3622312{col 76}{space 3}-.1975154
{txt}{space 7}"North Korea"  {c |}{col 23}{res}{space 2}-.4906472{col 35}{space 2} .0480206{col 46}{space 1}  -10.22{col 55}{space 3}0.000{col 63}{space 4}-.5849985{col 76}{space 3} -.396296
{txt}{space 6}"China Tarrif"  {c |}{col 23}{res}{space 2}-.4824632{col 35}{space 2} .0490445{col 46}{space 1}   -9.84{col 55}{space 3}0.000{col 63}{space 4}-.5788261{col 76}{space 3}-.3861002
{txt}{space 6}"Steel Tarrif"  {c |}{col 23}{res}{space 2}-.3743309{col 35}{space 2} .0495874{col 46}{space 1}   -7.55{col 55}{space 3}0.000{col 63}{space 4}-.4717606{col 76}{space 3}-.2769013
{txt}{space 4}"Remove Mueller"  {c |}{col 23}{res}{space 2}-.1847444{col 35}{space 2} .0467036{col 46}{space 1}   -3.96{col 55}{space 3}0.000{col 63}{space 4} -.276508{col 76}{space 3}-.0929809
{txt}{space 6}"Cut Medicare"  {c |}{col 23}{res}{space 2} .3879564{col 35}{space 2} .0424067{col 46}{space 1}    9.15{col 55}{space 3}0.000{col 63}{space 4} .3046355{col 76}{space 3} .4712773
{txt}{space 7}"Drug Prices"  {c |}{col 23}{res}{space 2} .2454583{col 35}{space 2} .0445354{col 46}{space 1}    5.51{col 55}{space 3}0.000{col 63}{space 4} .1579548{col 76}{space 3} .3329617
{txt}{space 7}"Food Stamps"  {c |}{col 23}{res}{space 2}-.6618566{col 35}{space 2} .0484407{col 46}{space 1}  -13.66{col 55}{space 3}0.000{col 63}{space 4}-.7570333{col 76}{space 3}-.5666799
{txt}{space 6}"Oil Drilling"  {c |}{col 23}{res}{space 2}  -.43869{col 35}{space 2} .0444113{col 46}{space 1}   -9.88{col 55}{space 3}0.000{col 63}{space 4}-.5259496{col 76}{space 3}-.3514305
{txt}{space 6}"Comey Unfair"  {c |}{col 23}{res}{space 2}-.5044377{col 35}{space 2} .0434396{col 46}{space 1}  -11.61{col 55}{space 3}0.000{col 63}{space 4}-.5897882{col 76}{space 3}-.4190872
{txt}{space 7}"Puerto Rico"  {c |}{col 23}{res}{space 2}  .065729{col 35}{space 2} .0437156{col 46}{space 1}    1.50{col 55}{space 3}0.133{col 63}{space 4}-.0201637{col 76}{space 3} .1516217
{txt}{space 5}"Allow Torture"  {c |}{col 23}{res}{space 2}-.1781196{col 35}{space 2} .0477799{col 46}{space 1}   -3.73{col 55}{space 3}0.000{col 63}{space 4}-.2719979{col 76}{space 3}-.0842413
{txt}{space 6}"Support DACA"  {c |}{col 23}{res}{space 2}-.3015975{col 35}{space 2} .0451054{col 46}{space 1}   -6.69{col 55}{space 3}0.000{col 63}{space 4} -.390221{col 76}{space 3} -.212974
{txt}{space 21} {c |}
{space 13}libtrump {c |}{col 23}{res}{space 2} .0973983{col 35}{space 2} .0200343{col 46}{space 1}    4.86{col 55}{space 3}0.000{col 63}{space 4} .0580348{col 76}{space 3} .1367618
{txt}{space 13}contrump {c |}{col 23}{res}{space 2}-.0723963{col 35}{space 2} .0173609{col 46}{space 1}   -4.17{col 55}{space 3}0.000{col 63}{space 4}-.1065072{col 76}{space 3}-.0382855
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} .4159427{col 35}{space 2} .0321793{col 46}{space 1}   12.93{col 55}{space 3}0.000{col 63}{space 4} .3527167{col 76}{space 3} .4791688
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. regress Support i.Question libtrump contrump if salience_sd >= 1.04, absorb(caseid) cluster(caseid)

{txt}Linear regression, absorbing indicators         Number of obs     = {res}     4,896
                                                {txt}{help j_robustsingular:F(21, 233) }       =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.3969
                                                {txt}Adj R-squared     = {res}    0.3638
                                                {txt}Root MSE          =    {res} .73357

{txt}{ralign 87:(Std. err. adjusted for {res:234} clusters in {res:caseid})}
{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}              Support{col 23}{c |} Coefficient{col 35}  std. err.{col 47}      t{col 55}   P>|t|{col 63}     [95% con{col 76}f. interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}Question {c |}
{space 6}"Tax Increase"  {c |}{col 23}{res}{space 2} .1903285{col 35}{space 2} .0600213{col 46}{space 1}    3.17{col 55}{space 3}0.002{col 63}{space 4} .0720747{col 76}{space 3} .3085824
{txt}{space 10}"Abortion"  {c |}{col 23}{res}{space 2} .2668147{col 35}{space 2} .0808368{col 46}{space 1}    3.30{col 55}{space 3}0.001{col 63}{space 4} .1075502{col 76}{space 3} .4260791
{txt}{space 7}"Immigration"  {c |}{col 23}{res}{space 2}-.2402689{col 35}{space 2} .0671222{col 46}{space 1}   -3.58{col 55}{space 3}0.000{col 63}{space 4}-.3725128{col 76}{space 3} -.108025
{txt}{space 6} "School Guns"  {c |}{col 23}{res}{space 2}-.1640377{col 35}{space 2} .0705088{col 46}{space 1}   -2.33{col 55}{space 3}0.021{col 63}{space 4} -.302954{col 76}{space 3}-.0251214
{txt}{space 7}"Health Care"  {c |}{col 23}{res}{space 2}-.1249936{col 35}{space 2} .0584623{col 46}{space 1}   -2.14{col 55}{space 3}0.034{col 63}{space 4}-.2401759{col 76}{space 3}-.0098112
{txt}{space 3}"Guns Background"  {c |}{col 23}{res}{space 2} .5207759{col 35}{space 2} .0709448{col 46}{space 1}    7.34{col 55}{space 3}0.000{col 63}{space 4} .3810007{col 76}{space 3} .6605512
{txt}{space 4}"Climate Change"  {c |}{col 23}{res}{space 2}-.0777126{col 35}{space 2} .0664391{col 46}{space 1}   -1.17{col 55}{space 3}0.243{col 63}{space 4}-.2086107{col 76}{space 3} .0531856
{txt}"Planned Parenthood"  {c |}{col 23}{res}{space 2}-.2877142{col 35}{space 2} .0623796{col 46}{space 1}   -4.61{col 55}{space 3}0.000{col 63}{space 4}-.4106143{col 76}{space 3}-.1648142
{txt}{space 7}"North Korea"  {c |}{col 23}{res}{space 2}-.1195157{col 35}{space 2} .0800229{col 46}{space 1}   -1.49{col 55}{space 3}0.137{col 63}{space 4}-.2771767{col 76}{space 3} .0381454
{txt}{space 6}"China Tarrif"  {c |}{col 23}{res}{space 2}-.2048791{col 35}{space 2} .0785608{col 46}{space 1}   -2.61{col 55}{space 3}0.010{col 63}{space 4}-.3596594{col 76}{space 3}-.0500988
{txt}{space 6}"Steel Tarrif"  {c |}{col 23}{res}{space 2}-.1250096{col 35}{space 2} .0751056{col 46}{space 1}   -1.66{col 55}{space 3}0.097{col 63}{space 4}-.2729825{col 76}{space 3} .0229634
{txt}{space 4}"Remove Mueller"  {c |}{col 23}{res}{space 2}-.1405291{col 35}{space 2} .0699106{col 46}{space 1}   -2.01{col 55}{space 3}0.046{col 63}{space 4}-.2782668{col 76}{space 3}-.0027915
{txt}{space 6}"Cut Medicare"  {c |}{col 23}{res}{space 2} .6536398{col 35}{space 2}  .072903{col 46}{space 1}    8.97{col 55}{space 3}0.000{col 63}{space 4} .5100065{col 76}{space 3} .7972731
{txt}{space 7}"Drug Prices"  {c |}{col 23}{res}{space 2} .5907152{col 35}{space 2} .0713435{col 46}{space 1}    8.28{col 55}{space 3}0.000{col 63}{space 4} .4501544{col 76}{space 3} .7312759
{txt}{space 7}"Food Stamps"  {c |}{col 23}{res}{space 2}-.4120934{col 35}{space 2} .0729472{col 46}{space 1}   -5.65{col 55}{space 3}0.000{col 63}{space 4}-.5558138{col 76}{space 3} -.268373
{txt}{space 6}"Oil Drilling"  {c |}{col 23}{res}{space 2}-.2760346{col 35}{space 2} .0702344{col 46}{space 1}   -3.93{col 55}{space 3}0.000{col 63}{space 4}-.4144103{col 76}{space 3} -.137659
{txt}{space 6}"Comey Unfair"  {c |}{col 23}{res}{space 2}-.5082659{col 35}{space 2} .0574915{col 46}{space 1}   -8.84{col 55}{space 3}0.000{col 63}{space 4}-.6215355{col 76}{space 3}-.3949964
{txt}{space 7}"Puerto Rico"  {c |}{col 23}{res}{space 2} .1058703{col 35}{space 2} .0726434{col 46}{space 1}    1.46{col 55}{space 3}0.146{col 63}{space 4}-.0372515{col 76}{space 3} .2489921
{txt}{space 5}"Allow Torture"  {c |}{col 23}{res}{space 2}-.1580148{col 35}{space 2} .0772949{col 46}{space 1}   -2.04{col 55}{space 3}0.042{col 63}{space 4}-.3103011{col 76}{space 3}-.0057286
{txt}{space 6}"Support DACA"  {c |}{col 23}{res}{space 2}-.2223046{col 35}{space 2} .0631992{col 46}{space 1}   -3.52{col 55}{space 3}0.001{col 63}{space 4}-.3468195{col 76}{space 3}-.0977896
{txt}{space 21} {c |}
{space 13}libtrump {c |}{col 23}{res}{space 2}  .178948{col 35}{space 2} .0333753{col 46}{space 1}    5.36{col 55}{space 3}0.000{col 63}{space 4} .1131921{col 76}{space 3} .2447039
{txt}{space 13}contrump {c |}{col 23}{res}{space 2}-.1219273{col 35}{space 2} .0291935{col 46}{space 1}   -4.18{col 55}{space 3}0.000{col 63}{space 4}-.1794442{col 76}{space 3}-.0644104
{txt}{space 16}_cons {c |}{col 23}{res}{space 2}-.1346757{col 35}{space 2} .0527624{col 46}{space 1}   -2.55{col 55}{space 3}0.011{col 63}{space 4} -.238628{col 76}{space 3}-.0307234
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. 
. 
. **********************************************
. *TABLE A9: Results Omitting Respondents Who Gave Same Issue Importance for All Issues
. tab caseid if salience_sd != 0 & first_obs == 1

     {txt}caseid {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
   3.99e+08 {c |}{res}          1        0.06        0.06
{txt}   4.10e+08 {c |}{res}          1        0.06        0.13
{txt}   4.10e+08 {c |}{res}          1        0.06        0.19
{txt}   4.10e+08 {c |}{res}          1        0.06        0.26
{txt}   4.10e+08 {c |}{res}          1        0.06        0.32
{txt}   4.11e+08 {c |}{res}          1        0.06        0.39
{txt}   4.11e+08 {c |}{res}          1        0.06        0.45
{txt}   4.11e+08 {c |}{res}          1        0.06        0.52
{txt}   4.11e+08 {c |}{res}          1        0.06        0.58
{txt}   4.11e+08 {c |}{res}          1        0.06        0.64
{txt}   4.11e+08 {c |}{res}          1        0.06        0.71
{txt}   4.11e+08 {c |}{res}          1        0.06        0.77
{txt}   4.11e+08 {c |}{res}          1        0.06        0.84
{txt}   4.11e+08 {c |}{res}          1        0.06        0.90
{txt}   4.11e+08 {c |}{res}          1        0.06        0.97
{txt}   4.11e+08 {c |}{res}          1        0.06        1.03
{txt}   4.11e+08 {c |}{res}          1        0.06        1.10
{txt}   4.11e+08 {c |}{res}          1        0.06        1.16
{txt}   4.11e+08 {c |}{res}          1        0.06        1.22
{txt}   4.11e+08 {c |}{res}          1        0.06        1.29
{txt}   4.11e+08 {c |}{res}          1        0.06        1.35
{txt}   4.11e+08 {c |}{res}          1        0.06        1.42
{txt}   4.11e+08 {c |}{res}          1        0.06        1.48
{txt}   4.11e+08 {c |}{res}          1        0.06        1.55
{txt}   4.11e+08 {c |}{res}          1        0.06        1.61
{txt}   4.11e+08 {c |}{res}          1        0.06        1.68
{txt}   4.11e+08 {c |}{res}          1        0.06        1.74
{txt}   4.11e+08 {c |}{res}          1        0.06        1.80
{txt}   4.11e+08 {c |}{res}          1        0.06        1.87
{txt}   4.11e+08 {c |}{res}          1        0.06        1.93
{txt}   4.11e+08 {c |}{res}          1        0.06        2.00
{txt}   4.11e+08 {c |}{res}          1        0.06        2.06
{txt}   4.11e+08 {c |}{res}          1        0.06        2.13
{txt}   4.11e+08 {c |}{res}          1        0.06        2.19
{txt}   4.11e+08 {c |}{res}          1        0.06        2.26
{txt}   4.12e+08 {c |}{res}          1        0.06        2.32
{txt}   4.12e+08 {c |}{res}          1        0.06        2.38
{txt}   4.12e+08 {c |}{res}          1        0.06        2.45
{txt}   4.12e+08 {c |}{res}          1        0.06        2.51
{txt}   4.12e+08 {c |}{res}          1        0.06        2.58
{txt}   4.12e+08 {c |}{res}          1        0.06        2.64
{txt}   4.12e+08 {c |}{res}          1        0.06        2.71
{txt}   4.12e+08 {c |}{res}          1        0.06        2.77
{txt}   4.12e+08 {c |}{res}          1        0.06        2.84
{txt}   4.12e+08 {c |}{res}          1        0.06        2.90
{txt}   4.12e+08 {c |}{res}          1        0.06        2.96
{txt}   4.12e+08 {c |}{res}          1        0.06        3.03
{txt}   4.12e+08 {c |}{res}          1        0.06        3.09
{txt}   4.12e+08 {c |}{res}          1        0.06        3.16
{txt}   4.12e+08 {c |}{res}          1        0.06        3.22
{txt}   4.12e+08 {c |}{res}          1        0.06        3.29
{txt}   4.12e+08 {c |}{res}          1        0.06        3.35
{txt}   4.12e+08 {c |}{res}          1        0.06        3.41
{txt}   4.12e+08 {c |}{res}          1        0.06        3.48
{txt}   4.12e+08 {c |}{res}          1        0.06        3.54
{txt}   4.12e+08 {c |}{res}          1        0.06        3.61
{txt}   4.12e+08 {c |}{res}          1        0.06        3.67
{txt}   4.12e+08 {c |}{res}          1        0.06        3.74
{txt}   4.12e+08 {c |}{res}          1        0.06        3.80
{txt}   4.12e+08 {c |}{res}          1        0.06        3.87
{txt}   4.12e+08 {c |}{res}          1        0.06        3.93
{txt}   4.12e+08 {c |}{res}          1        0.06        3.99
{txt}   4.12e+08 {c |}{res}          1        0.06        4.06
{txt}   4.12e+08 {c |}{res}          1        0.06        4.12
{txt}   4.12e+08 {c |}{res}          1        0.06        4.19
{txt}   4.12e+08 {c |}{res}          1        0.06        4.25
{txt}   4.12e+08 {c |}{res}          1        0.06        4.32
{txt}   4.12e+08 {c |}{res}          1        0.06        4.38
{txt}   4.12e+08 {c |}{res}          1        0.06        4.45
{txt}   4.12e+08 {c |}{res}          1        0.06        4.51
{txt}   4.12e+08 {c |}{res}          1        0.06        4.57
{txt}   4.12e+08 {c |}{res}          1        0.06        4.64
{txt}   4.12e+08 {c |}{res}          1        0.06        4.70
{txt}   4.12e+08 {c |}{res}          1        0.06        4.77
{txt}   4.12e+08 {c |}{res}          1        0.06        4.83
{txt}   4.12e+08 {c |}{res}          1        0.06        4.90
{txt}   4.12e+08 {c |}{res}          1        0.06        4.96
{txt}   4.12e+08 {c |}{res}          1        0.06        5.03
{txt}   4.12e+08 {c |}{res}          1        0.06        5.09
{txt}   4.12e+08 {c |}{res}          1        0.06        5.15
{txt}   4.12e+08 {c |}{res}          1        0.06        5.22
{txt}   4.12e+08 {c |}{res}          1        0.06        5.28
{txt}   4.12e+08 {c |}{res}          1        0.06        5.35
{txt}   4.12e+08 {c |}{res}          1        0.06        5.41
{txt}   4.12e+08 {c |}{res}          1        0.06        5.48
{txt}   4.12e+08 {c |}{res}          1        0.06        5.54
{txt}   4.12e+08 {c |}{res}          1        0.06        5.61
{txt}   4.12e+08 {c |}{res}          1        0.06        5.67
{txt}   4.12e+08 {c |}{res}          1        0.06        5.73
{txt}   4.12e+08 {c |}{res}          1        0.06        5.80
{txt}   4.12e+08 {c |}{res}          1        0.06        5.86
{txt}   4.12e+08 {c |}{res}          1        0.06        5.93
{txt}   4.12e+08 {c |}{res}          1        0.06        5.99
{txt}   4.12e+08 {c |}{res}          1        0.06        6.06
{txt}   4.12e+08 {c |}{res}          1        0.06        6.12
{txt}   4.12e+08 {c |}{res}          1        0.06        6.19
{txt}   4.12e+08 {c |}{res}          1        0.06        6.25
{txt}   4.12e+08 {c |}{res}          1        0.06        6.31
{txt}   4.12e+08 {c |}{res}          1        0.06        6.38
{txt}   4.12e+08 {c |}{res}          1        0.06        6.44
{txt}   4.12e+08 {c |}{res}          1        0.06        6.51
{txt}   4.12e+08 {c |}{res}          1        0.06        6.57
{txt}   4.12e+08 {c |}{res}          1        0.06        6.64
{txt}   4.12e+08 {c |}{res}          1        0.06        6.70
{txt}   4.12e+08 {c |}{res}          1        0.06        6.77
{txt}   4.12e+08 {c |}{res}          1        0.06        6.83
{txt}   4.12e+08 {c |}{res}          1        0.06        6.89
{txt}   4.12e+08 {c |}{res}          1        0.06        6.96
{txt}   4.12e+08 {c |}{res}          1        0.06        7.02
{txt}   4.12e+08 {c |}{res}          1        0.06        7.09
{txt}   4.12e+08 {c |}{res}          1        0.06        7.15
{txt}   4.12e+08 {c |}{res}          1        0.06        7.22
{txt}   4.12e+08 {c |}{res}          1        0.06        7.28
{txt}   4.12e+08 {c |}{res}          1        0.06        7.35
{txt}   4.12e+08 {c |}{res}          1        0.06        7.41
{txt}   4.12e+08 {c |}{res}          1        0.06        7.47
{txt}   4.12e+08 {c |}{res}          1        0.06        7.54
{txt}   4.12e+08 {c |}{res}          1        0.06        7.60
{txt}   4.12e+08 {c |}{res}          1        0.06        7.67
{txt}   4.12e+08 {c |}{res}          1        0.06        7.73
{txt}   4.12e+08 {c |}{res}          1        0.06        7.80
{txt}   4.12e+08 {c |}{res}          1        0.06        7.86
{txt}   4.12e+08 {c |}{res}          1        0.06        7.93
{txt}   4.12e+08 {c |}{res}          1        0.06        7.99
{txt}   4.12e+08 {c |}{res}          1        0.06        8.05
{txt}   4.12e+08 {c |}{res}          1        0.06        8.12
{txt}   4.12e+08 {c |}{res}          1        0.06        8.18
{txt}   4.12e+08 {c |}{res}          1        0.06        8.25
{txt}   4.12e+08 {c |}{res}          1        0.06        8.31
{txt}   4.12e+08 {c |}{res}          1        0.06        8.38
{txt}   4.12e+08 {c |}{res}          1        0.06        8.44
{txt}   4.12e+08 {c |}{res}          1        0.06        8.51
{txt}   4.12e+08 {c |}{res}          1        0.06        8.57
{txt}   4.12e+08 {c |}{res}          1        0.06        8.63
{txt}   4.12e+08 {c |}{res}          1        0.06        8.70
{txt}   4.12e+08 {c |}{res}          1        0.06        8.76
{txt}   4.12e+08 {c |}{res}          1        0.06        8.83
{txt}   4.12e+08 {c |}{res}          1        0.06        8.89
{txt}   4.12e+08 {c |}{res}          1        0.06        8.96
{txt}   4.12e+08 {c |}{res}          1        0.06        9.02
{txt}   4.12e+08 {c |}{res}          1        0.06        9.09
{txt}   4.12e+08 {c |}{res}          1        0.06        9.15
{txt}   4.12e+08 {c |}{res}          1        0.06        9.21
{txt}   4.12e+08 {c |}{res}          1        0.06        9.28
{txt}   4.12e+08 {c |}{res}          1        0.06        9.34
{txt}   4.12e+08 {c |}{res}          1        0.06        9.41
{txt}   4.12e+08 {c |}{res}          1        0.06        9.47
{txt}   4.12e+08 {c |}{res}          1        0.06        9.54
{txt}   4.12e+08 {c |}{res}          1        0.06        9.60
{txt}   4.12e+08 {c |}{res}          1        0.06        9.66
{txt}   4.12e+08 {c |}{res}          1        0.06        9.73
{txt}   4.12e+08 {c |}{res}          1        0.06        9.79
{txt}   4.12e+08 {c |}{res}          1        0.06        9.86
{txt}   4.12e+08 {c |}{res}          1        0.06        9.92
{txt}   4.12e+08 {c |}{res}          1        0.06        9.99
{txt}   4.12e+08 {c |}{res}          1        0.06       10.05
{txt}   4.12e+08 {c |}{res}          1        0.06       10.12
{txt}   4.12e+08 {c |}{res}          1        0.06       10.18
{txt}   4.12e+08 {c |}{res}          1        0.06       10.24
{txt}   4.12e+08 {c |}{res}          1        0.06       10.31
{txt}   4.12e+08 {c |}{res}          1        0.06       10.37
{txt}   4.12e+08 {c |}{res}          1        0.06       10.44
{txt}   4.12e+08 {c |}{res}          1        0.06       10.50
{txt}   4.12e+08 {c |}{res}          1        0.06       10.57
{txt}   4.12e+08 {c |}{res}          1        0.06       10.63
{txt}   4.12e+08 {c |}{res}          1        0.06       10.70
{txt}   4.12e+08 {c |}{res}          1        0.06       10.76
{txt}   4.12e+08 {c |}{res}          1        0.06       10.82
{txt}   4.12e+08 {c |}{res}          1        0.06       10.89
{txt}   4.12e+08 {c |}{res}          1        0.06       10.95
{txt}   4.12e+08 {c |}{res}          1        0.06       11.02
{txt}   4.12e+08 {c |}{res}          1        0.06       11.08
{txt}   4.12e+08 {c |}{res}          1        0.06       11.15
{txt}   4.12e+08 {c |}{res}          1        0.06       11.21
{txt}   4.12e+08 {c |}{res}          1        0.06       11.28
{txt}   4.12e+08 {c |}{res}          1        0.06       11.34
{txt}   4.12e+08 {c |}{res}          1        0.06       11.40
{txt}   4.12e+08 {c |}{res}          1        0.06       11.47
{txt}   4.12e+08 {c |}{res}          1        0.06       11.53
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{txt}   4.18e+08 {c |}{res}          1        0.06       86.21
{txt}   4.18e+08 {c |}{res}          1        0.06       86.28
{txt}   4.18e+08 {c |}{res}          1        0.06       86.34
{txt}   4.18e+08 {c |}{res}          1        0.06       86.40
{txt}   4.18e+08 {c |}{res}          1        0.06       86.47
{txt}   4.18e+08 {c |}{res}          1        0.06       86.53
{txt}   4.18e+08 {c |}{res}          1        0.06       86.60
{txt}   4.18e+08 {c |}{res}          1        0.06       86.66
{txt}   4.18e+08 {c |}{res}          1        0.06       86.73
{txt}   4.18e+08 {c |}{res}          1        0.06       86.79
{txt}   4.18e+08 {c |}{res}          1        0.06       86.86
{txt}   4.18e+08 {c |}{res}          1        0.06       86.92
{txt}   4.18e+08 {c |}{res}          1        0.06       86.98
{txt}   4.18e+08 {c |}{res}          1        0.06       87.05
{txt}   4.18e+08 {c |}{res}          1        0.06       87.11
{txt}   4.18e+08 {c |}{res}          1        0.06       87.18
{txt}   4.18e+08 {c |}{res}          1        0.06       87.24
{txt}   4.18e+08 {c |}{res}          1        0.06       87.31
{txt}   4.18e+08 {c |}{res}          1        0.06       87.37
{txt}   4.18e+08 {c |}{res}          1        0.06       87.44
{txt}   4.18e+08 {c |}{res}          1        0.06       87.50
{txt}   4.18e+08 {c |}{res}          1        0.06       87.56
{txt}   4.18e+08 {c |}{res}          1        0.06       87.63
{txt}   4.18e+08 {c |}{res}          1        0.06       87.69
{txt}   4.18e+08 {c |}{res}          1        0.06       87.76
{txt}   4.18e+08 {c |}{res}          1        0.06       87.82
{txt}   4.18e+08 {c |}{res}          1        0.06       87.89
{txt}   4.18e+08 {c |}{res}          1        0.06       87.95
{txt}   4.18e+08 {c |}{res}          1        0.06       88.02
{txt}   4.18e+08 {c |}{res}          1        0.06       88.08
{txt}   4.18e+08 {c |}{res}          1        0.06       88.14
{txt}   4.18e+08 {c |}{res}          1        0.06       88.21
{txt}   4.18e+08 {c |}{res}          1        0.06       88.27
{txt}   4.18e+08 {c |}{res}          1        0.06       88.34
{txt}   4.18e+08 {c |}{res}          1        0.06       88.40
{txt}   4.18e+08 {c |}{res}          1        0.06       88.47
{txt}   4.18e+08 {c |}{res}          1        0.06       88.53
{txt}   4.18e+08 {c |}{res}          1        0.06       88.60
{txt}   4.18e+08 {c |}{res}          1        0.06       88.66
{txt}   4.18e+08 {c |}{res}          1        0.06       88.72
{txt}   4.18e+08 {c |}{res}          1        0.06       88.79
{txt}   4.18e+08 {c |}{res}          1        0.06       88.85
{txt}   4.18e+08 {c |}{res}          1        0.06       88.92
{txt}   4.18e+08 {c |}{res}          1        0.06       88.98
{txt}   4.18e+08 {c |}{res}          1        0.06       89.05
{txt}   4.18e+08 {c |}{res}          1        0.06       89.11
{txt}   4.18e+08 {c |}{res}          1        0.06       89.18
{txt}   4.18e+08 {c |}{res}          1        0.06       89.24
{txt}   4.18e+08 {c |}{res}          1        0.06       89.30
{txt}   4.18e+08 {c |}{res}          1        0.06       89.37
{txt}   4.18e+08 {c |}{res}          1        0.06       89.43
{txt}   4.18e+08 {c |}{res}          1        0.06       89.50
{txt}   4.18e+08 {c |}{res}          1        0.06       89.56
{txt}   4.18e+08 {c |}{res}          1        0.06       89.63
{txt}   4.18e+08 {c |}{res}          1        0.06       89.69
{txt}   4.18e+08 {c |}{res}          1        0.06       89.76
{txt}   4.18e+08 {c |}{res}          1        0.06       89.82
{txt}   4.18e+08 {c |}{res}          1        0.06       89.88
{txt}   4.18e+08 {c |}{res}          1        0.06       89.95
{txt}   4.18e+08 {c |}{res}          1        0.06       90.01
{txt}   4.18e+08 {c |}{res}          1        0.06       90.08
{txt}   4.18e+08 {c |}{res}          1        0.06       90.14
{txt}   4.18e+08 {c |}{res}          1        0.06       90.21
{txt}   4.18e+08 {c |}{res}          1        0.06       90.27
{txt}   4.18e+08 {c |}{res}          1        0.06       90.34
{txt}   4.18e+08 {c |}{res}          1        0.06       90.40
{txt}   4.18e+08 {c |}{res}          1        0.06       90.46
{txt}   4.18e+08 {c |}{res}          1        0.06       90.53
{txt}   4.18e+08 {c |}{res}          1        0.06       90.59
{txt}   4.18e+08 {c |}{res}          1        0.06       90.66
{txt}   4.18e+08 {c |}{res}          1        0.06       90.72
{txt}   4.18e+08 {c |}{res}          1        0.06       90.79
{txt}   4.18e+08 {c |}{res}          1        0.06       90.85
{txt}   4.18e+08 {c |}{res}          1        0.06       90.91
{txt}   4.18e+08 {c |}{res}          1        0.06       90.98
{txt}   4.18e+08 {c |}{res}          1        0.06       91.04
{txt}   4.18e+08 {c |}{res}          1        0.06       91.11
{txt}   4.18e+08 {c |}{res}          1        0.06       91.17
{txt}   4.18e+08 {c |}{res}          1        0.06       91.24
{txt}   4.18e+08 {c |}{res}          1        0.06       91.30
{txt}   4.18e+08 {c |}{res}          1        0.06       91.37
{txt}   4.18e+08 {c |}{res}          1        0.06       91.43
{txt}   4.18e+08 {c |}{res}          1        0.06       91.49
{txt}   4.18e+08 {c |}{res}          1        0.06       91.56
{txt}   4.18e+08 {c |}{res}          1        0.06       91.62
{txt}   4.18e+08 {c |}{res}          1        0.06       91.69
{txt}   4.18e+08 {c |}{res}          1        0.06       91.75
{txt}   4.18e+08 {c |}{res}          1        0.06       91.82
{txt}   4.18e+08 {c |}{res}          1        0.06       91.88
{txt}   4.18e+08 {c |}{res}          1        0.06       91.95
{txt}   4.18e+08 {c |}{res}          1        0.06       92.01
{txt}   4.18e+08 {c |}{res}          1        0.06       92.07
{txt}   4.18e+08 {c |}{res}          1        0.06       92.14
{txt}   4.18e+08 {c |}{res}          1        0.06       92.20
{txt}   4.18e+08 {c |}{res}          1        0.06       92.27
{txt}   4.18e+08 {c |}{res}          1        0.06       92.33
{txt}   4.18e+08 {c |}{res}          1        0.06       92.40
{txt}   4.18e+08 {c |}{res}          1        0.06       92.46
{txt}   4.18e+08 {c |}{res}          1        0.06       92.53
{txt}   4.18e+08 {c |}{res}          1        0.06       92.59
{txt}   4.18e+08 {c |}{res}          1        0.06       92.65
{txt}   4.18e+08 {c |}{res}          1        0.06       92.72
{txt}   4.18e+08 {c |}{res}          1        0.06       92.78
{txt}   4.18e+08 {c |}{res}          1        0.06       92.85
{txt}   4.18e+08 {c |}{res}          1        0.06       92.91
{txt}   4.18e+08 {c |}{res}          1        0.06       92.98
{txt}   4.18e+08 {c |}{res}          1        0.06       93.04
{txt}   4.18e+08 {c |}{res}          1        0.06       93.11
{txt}   4.18e+08 {c |}{res}          1        0.06       93.17
{txt}   4.18e+08 {c |}{res}          1        0.06       93.23
{txt}   4.18e+08 {c |}{res}          1        0.06       93.30
{txt}   4.19e+08 {c |}{res}          1        0.06       93.36
{txt}   4.19e+08 {c |}{res}          1        0.06       93.43
{txt}   4.19e+08 {c |}{res}          1        0.06       93.49
{txt}   4.19e+08 {c |}{res}          1        0.06       93.56
{txt}   4.19e+08 {c |}{res}          1        0.06       93.62
{txt}   4.19e+08 {c |}{res}          1        0.06       93.69
{txt}   4.19e+08 {c |}{res}          1        0.06       93.75
{txt}   4.19e+08 {c |}{res}          1        0.06       93.81
{txt}   4.19e+08 {c |}{res}          1        0.06       93.88
{txt}   4.19e+08 {c |}{res}          1        0.06       93.94
{txt}   4.19e+08 {c |}{res}          1        0.06       94.01
{txt}   4.19e+08 {c |}{res}          1        0.06       94.07
{txt}   4.19e+08 {c |}{res}          1        0.06       94.14
{txt}   4.19e+08 {c |}{res}          1        0.06       94.20
{txt}   4.19e+08 {c |}{res}          1        0.06       94.27
{txt}   4.19e+08 {c |}{res}          1        0.06       94.33
{txt}   4.19e+08 {c |}{res}          1        0.06       94.39
{txt}   4.19e+08 {c |}{res}          1        0.06       94.46
{txt}   4.19e+08 {c |}{res}          1        0.06       94.52
{txt}   4.19e+08 {c |}{res}          1        0.06       94.59
{txt}   4.19e+08 {c |}{res}          1        0.06       94.65
{txt}   4.19e+08 {c |}{res}          1        0.06       94.72
{txt}   4.19e+08 {c |}{res}          1        0.06       94.78
{txt}   4.19e+08 {c |}{res}          1        0.06       94.85
{txt}   4.19e+08 {c |}{res}          1        0.06       94.91
{txt}   4.19e+08 {c |}{res}          1        0.06       94.97
{txt}   4.19e+08 {c |}{res}          1        0.06       95.04
{txt}   4.19e+08 {c |}{res}          1        0.06       95.10
{txt}   4.19e+08 {c |}{res}          1        0.06       95.17
{txt}   4.19e+08 {c |}{res}          1        0.06       95.23
{txt}   4.19e+08 {c |}{res}          1        0.06       95.30
{txt}   4.19e+08 {c |}{res}          1        0.06       95.36
{txt}   4.19e+08 {c |}{res}          1        0.06       95.43
{txt}   4.19e+08 {c |}{res}          1        0.06       95.49
{txt}   4.20e+08 {c |}{res}          1        0.06       95.55
{txt}   4.20e+08 {c |}{res}          1        0.06       95.62
{txt}   4.20e+08 {c |}{res}          1        0.06       95.68
{txt}   4.20e+08 {c |}{res}          1        0.06       95.75
{txt}   4.20e+08 {c |}{res}          1        0.06       95.81
{txt}   4.20e+08 {c |}{res}          1        0.06       95.88
{txt}   4.20e+08 {c |}{res}          1        0.06       95.94
{txt}   4.20e+08 {c |}{res}          1        0.06       96.01
{txt}   4.20e+08 {c |}{res}          1        0.06       96.07
{txt}   4.20e+08 {c |}{res}          1        0.06       96.13
{txt}   4.20e+08 {c |}{res}          1        0.06       96.20
{txt}   4.20e+08 {c |}{res}          1        0.06       96.26
{txt}   4.20e+08 {c |}{res}          1        0.06       96.33
{txt}   4.20e+08 {c |}{res}          1        0.06       96.39
{txt}   4.20e+08 {c |}{res}          1        0.06       96.46
{txt}   4.20e+08 {c |}{res}          1        0.06       96.52
{txt}   4.20e+08 {c |}{res}          1        0.06       96.59
{txt}   4.20e+08 {c |}{res}          1        0.06       96.65
{txt}   4.20e+08 {c |}{res}          1        0.06       96.71
{txt}   4.20e+08 {c |}{res}          1        0.06       96.78
{txt}   4.20e+08 {c |}{res}          1        0.06       96.84
{txt}   4.20e+08 {c |}{res}          1        0.06       96.91
{txt}   4.20e+08 {c |}{res}          1        0.06       96.97
{txt}   4.20e+08 {c |}{res}          1        0.06       97.04
{txt}   4.20e+08 {c |}{res}          1        0.06       97.10
{txt}   4.20e+08 {c |}{res}          1        0.06       97.16
{txt}   4.20e+08 {c |}{res}          1        0.06       97.23
{txt}   4.20e+08 {c |}{res}          1        0.06       97.29
{txt}   4.20e+08 {c |}{res}          1        0.06       97.36
{txt}   4.20e+08 {c |}{res}          1        0.06       97.42
{txt}   4.20e+08 {c |}{res}          1        0.06       97.49
{txt}   4.20e+08 {c |}{res}          1        0.06       97.55
{txt}   4.20e+08 {c |}{res}          1        0.06       97.62
{txt}   4.20e+08 {c |}{res}          1        0.06       97.68
{txt}   4.20e+08 {c |}{res}          1        0.06       97.74
{txt}   4.20e+08 {c |}{res}          1        0.06       97.81
{txt}   4.20e+08 {c |}{res}          1        0.06       97.87
{txt}   4.20e+08 {c |}{res}          1        0.06       97.94
{txt}   4.20e+08 {c |}{res}          1        0.06       98.00
{txt}   4.20e+08 {c |}{res}          1        0.06       98.07
{txt}   4.20e+08 {c |}{res}          1        0.06       98.13
{txt}   4.20e+08 {c |}{res}          1        0.06       98.20
{txt}   4.20e+08 {c |}{res}          1        0.06       98.26
{txt}   4.20e+08 {c |}{res}          1        0.06       98.32
{txt}   4.20e+08 {c |}{res}          1        0.06       98.39
{txt}   4.20e+08 {c |}{res}          1        0.06       98.45
{txt}   4.20e+08 {c |}{res}          1        0.06       98.52
{txt}   4.20e+08 {c |}{res}          1        0.06       98.58
{txt}   4.20e+08 {c |}{res}          1        0.06       98.65
{txt}   4.20e+08 {c |}{res}          1        0.06       98.71
{txt}   4.20e+08 {c |}{res}          1        0.06       98.78
{txt}   4.20e+08 {c |}{res}          1        0.06       98.84
{txt}   4.20e+08 {c |}{res}          1        0.06       98.90
{txt}   4.20e+08 {c |}{res}          1        0.06       98.97
{txt}   4.20e+08 {c |}{res}          1        0.06       99.03
{txt}   4.20e+08 {c |}{res}          1        0.06       99.10
{txt}   4.20e+08 {c |}{res}          1        0.06       99.16
{txt}   4.20e+08 {c |}{res}          1        0.06       99.23
{txt}   4.20e+08 {c |}{res}          1        0.06       99.29
{txt}   4.20e+08 {c |}{res}          1        0.06       99.36
{txt}   4.20e+08 {c |}{res}          1        0.06       99.42
{txt}   4.20e+08 {c |}{res}          1        0.06       99.48
{txt}   4.20e+08 {c |}{res}          1        0.06       99.55
{txt}   4.20e+08 {c |}{res}          1        0.06       99.61
{txt}   4.20e+08 {c |}{res}          1        0.06       99.68
{txt}   4.20e+08 {c |}{res}          1        0.06       99.74
{txt}   4.20e+08 {c |}{res}          1        0.06       99.81
{txt}   4.20e+08 {c |}{res}          1        0.06       99.87
{txt}   4.20e+08 {c |}{res}          1        0.06       99.94
{txt}   4.20e+08 {c |}{res}          1        0.06      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,552      100.00
{txt}
{com}. tab caseid if salience_sd == 0 & first_obs == 1

     {txt}caseid {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
   4.11e+08 {c |}{res}          1        1.33        1.33
{txt}   4.12e+08 {c |}{res}          1        1.33        2.67
{txt}   4.12e+08 {c |}{res}          1        1.33        4.00
{txt}   4.12e+08 {c |}{res}          1        1.33        5.33
{txt}   4.12e+08 {c |}{res}          1        1.33        6.67
{txt}   4.12e+08 {c |}{res}          1        1.33        8.00
{txt}   4.12e+08 {c |}{res}          1        1.33        9.33
{txt}   4.12e+08 {c |}{res}          1        1.33       10.67
{txt}   4.12e+08 {c |}{res}          1        1.33       12.00
{txt}   4.12e+08 {c |}{res}          1        1.33       13.33
{txt}   4.12e+08 {c |}{res}          1        1.33       14.67
{txt}   4.12e+08 {c |}{res}          1        1.33       16.00
{txt}   4.12e+08 {c |}{res}          1        1.33       17.33
{txt}   4.12e+08 {c |}{res}          1        1.33       18.67
{txt}   4.12e+08 {c |}{res}          1        1.33       20.00
{txt}   4.12e+08 {c |}{res}          1        1.33       21.33
{txt}   4.12e+08 {c |}{res}          1        1.33       22.67
{txt}   4.12e+08 {c |}{res}          1        1.33       24.00
{txt}   4.12e+08 {c |}{res}          1        1.33       25.33
{txt}   4.12e+08 {c |}{res}          1        1.33       26.67
{txt}   4.13e+08 {c |}{res}          1        1.33       28.00
{txt}   4.13e+08 {c |}{res}          1        1.33       29.33
{txt}   4.13e+08 {c |}{res}          1        1.33       30.67
{txt}   4.13e+08 {c |}{res}          1        1.33       32.00
{txt}   4.14e+08 {c |}{res}          1        1.33       33.33
{txt}   4.14e+08 {c |}{res}          1        1.33       34.67
{txt}   4.14e+08 {c |}{res}          1        1.33       36.00
{txt}   4.14e+08 {c |}{res}          1        1.33       37.33
{txt}   4.14e+08 {c |}{res}          1        1.33       38.67
{txt}   4.14e+08 {c |}{res}          1        1.33       40.00
{txt}   4.14e+08 {c |}{res}          1        1.33       41.33
{txt}   4.14e+08 {c |}{res}          1        1.33       42.67
{txt}   4.14e+08 {c |}{res}          1        1.33       44.00
{txt}   4.14e+08 {c |}{res}          1        1.33       45.33
{txt}   4.14e+08 {c |}{res}          1        1.33       46.67
{txt}   4.14e+08 {c |}{res}          1        1.33       48.00
{txt}   4.15e+08 {c |}{res}          1        1.33       49.33
{txt}   4.15e+08 {c |}{res}          1        1.33       50.67
{txt}   4.15e+08 {c |}{res}          1        1.33       52.00
{txt}   4.15e+08 {c |}{res}          1        1.33       53.33
{txt}   4.15e+08 {c |}{res}          1        1.33       54.67
{txt}   4.15e+08 {c |}{res}          1        1.33       56.00
{txt}   4.15e+08 {c |}{res}          1        1.33       57.33
{txt}   4.15e+08 {c |}{res}          1        1.33       58.67
{txt}   4.15e+08 {c |}{res}          1        1.33       60.00
{txt}   4.15e+08 {c |}{res}          1        1.33       61.33
{txt}   4.15e+08 {c |}{res}          1        1.33       62.67
{txt}   4.15e+08 {c |}{res}          1        1.33       64.00
{txt}   4.15e+08 {c |}{res}          1        1.33       65.33
{txt}   4.16e+08 {c |}{res}          1        1.33       66.67
{txt}   4.16e+08 {c |}{res}          1        1.33       68.00
{txt}   4.16e+08 {c |}{res}          1        1.33       69.33
{txt}   4.16e+08 {c |}{res}          1        1.33       70.67
{txt}   4.16e+08 {c |}{res}          1        1.33       72.00
{txt}   4.16e+08 {c |}{res}          1        1.33       73.33
{txt}   4.16e+08 {c |}{res}          1        1.33       74.67
{txt}   4.16e+08 {c |}{res}          1        1.33       76.00
{txt}   4.16e+08 {c |}{res}          1        1.33       77.33
{txt}   4.16e+08 {c |}{res}          1        1.33       78.67
{txt}   4.17e+08 {c |}{res}          1        1.33       80.00
{txt}   4.17e+08 {c |}{res}          1        1.33       81.33
{txt}   4.17e+08 {c |}{res}          1        1.33       82.67
{txt}   4.17e+08 {c |}{res}          1        1.33       84.00
{txt}   4.18e+08 {c |}{res}          1        1.33       85.33
{txt}   4.18e+08 {c |}{res}          1        1.33       86.67
{txt}   4.18e+08 {c |}{res}          1        1.33       88.00
{txt}   4.18e+08 {c |}{res}          1        1.33       89.33
{txt}   4.18e+08 {c |}{res}          1        1.33       90.67
{txt}   4.19e+08 {c |}{res}          1        1.33       92.00
{txt}   4.20e+08 {c |}{res}          1        1.33       93.33
{txt}   4.20e+08 {c |}{res}          1        1.33       94.67
{txt}   4.20e+08 {c |}{res}          1        1.33       96.00
{txt}   4.20e+08 {c |}{res}          1        1.33       97.33
{txt}   4.20e+08 {c |}{res}          1        1.33       98.67
{txt}   4.20e+08 {c |}{res}          1        1.33      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         75      100.00
{txt}
{com}. display 75/1552
{res}.04832474
{txt}
{com}. *4.832474 PERCENT OF PEOPLE GAVE SAME RESPONSE FOR ALL ISSUES
. 
. *Model 1
. regress Support i.libtrump##c.issue_salience i.contrump##c.issue_salience if salience_sd != 0, cluster(Question)
{txt}{p 0 6 2}note: {bf:issue_salience} omitted because of collinearity.{p_end}

Linear regression                               Number of obs     = {res}    19,536
                                                {txt}F(5, 19)          =  {res}    55.04
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0574
                                                {txt}Root MSE          =    {res} .87165

{txt}{ralign 91:(Std. err. adjusted for {res:20} clusters in {res:Question})}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                  Support{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}1.libtrump {c |}{col 27}{res}{space 2} .1826049{col 39}{space 2} .0503207{col 50}{space 1}    3.63{col 59}{space 3}0.002{col 67}{space 4} .0772826{col 80}{space 3} .2879273
{txt}{space 11}issue_salience {c |}{col 27}{res}{space 2}  .211329{col 39}{space 2} .0430915{col 50}{space 1}    4.90{col 59}{space 3}0.000{col 67}{space 4} .1211375{col 80}{space 3} .3015205
{txt}{space 25} {c |}
libtrump#c.issue_salience {c |}
{space 23}1  {c |}{col 27}{res}{space 2}-.0218711{col 39}{space 2} .0131616{col 50}{space 1}   -1.66{col 59}{space 3}0.113{col 67}{space 4}-.0494188{col 80}{space 3} .0056765
{txt}{space 25} {c |}
{space 15}1.contrump {c |}{col 27}{res}{space 2}-.1033632{col 39}{space 2}  .080255{col 50}{space 1}   -1.29{col 59}{space 3}0.213{col 67}{space 4}-.2713388{col 80}{space 3} .0646124
{txt}{space 11}issue_salience {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 25} {c |}
contrump#c.issue_salience {c |}
{space 23}1  {c |}{col 27}{res}{space 2} .0064445{col 39}{space 2} .0168497{col 50}{space 1}    0.38{col 59}{space 3}0.706{col 67}{space 4}-.0288224{col 80}{space 3} .0417113
{txt}{space 25} {c |}
{space 20}_cons {c |}{col 27}{res}{space 2}-.6420222{col 39}{space 2} .1862862{col 50}{space 1}   -3.45{col 59}{space 3}0.003{col 67}{space 4}-1.031924{col 80}{space 3}-.2521208
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. *Model 2
. areg Support i.libtrump##c.issue_salience i.contrump##c.issue_salience if salience_sd != 0, absorb(caseid) cluster(Question)
{txt}note: {bf:issue_salience} omitted because of collinearity.
{res}
{txt}{col 1}Linear regression, absorbing indicators{col 53}{lalign 17:Number of obs}{col 70} = {res}{ralign 6:19,536}
{txt}{col 1}Absorbed variable: {res:caseid}{col 53}{lalign 17:No. of categories}{col 70} = {res}{ralign 6:984}
{txt}{col 53}{lalign 17:F({res:5}, {res:19})}{col 70} = {res}{ralign 6:79.12}
{txt}{col 53}{lalign 17:Prob > F}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 53}{lalign 17:R-squared}{col 70} = {res}{ralign 6:0.3840}
{txt}{col 53}{lalign 17:Adj R-squared}{col 70} = {res}{ralign 6:0.3512}
{txt}{col 53}{lalign 17:Root MSE}{col 70} = {res}{ralign 6:0.7231}

{txt}{ralign 91:(Std. err. adjusted for {res:20} clusters in {res:Question})}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                  Support{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}1.libtrump {c |}{col 27}{res}{space 2}  .238624{col 39}{space 2}   .04857{col 50}{space 1}    4.91{col 59}{space 3}0.000{col 67}{space 4} .1369658{col 80}{space 3} .3402823
{txt}{space 11}issue_salience {c |}{col 27}{res}{space 2} .1125005{col 39}{space 2} .0288348{col 50}{space 1}    3.90{col 59}{space 3}0.001{col 67}{space 4} .0521485{col 80}{space 3} .1728525
{txt}{space 25} {c |}
libtrump#c.issue_salience {c |}
{space 23}1  {c |}{col 27}{res}{space 2}-.0313189{col 39}{space 2} .0125612{col 50}{space 1}   -2.49{col 59}{space 3}0.022{col 67}{space 4}-.0576099{col 80}{space 3} -.005028
{txt}{space 25} {c |}
{space 15}1.contrump {c |}{col 27}{res}{space 2}-.0913217{col 39}{space 2} .0532952{col 50}{space 1}   -1.71{col 59}{space 3}0.103{col 67}{space 4}-.2028698{col 80}{space 3} .0202264
{txt}{space 11}issue_salience {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 25} {c |}
contrump#c.issue_salience {c |}
{space 23}1  {c |}{col 27}{res}{space 2} .0046043{col 39}{space 2} .0112097{col 50}{space 1}    0.41{col 59}{space 3}0.686{col 67}{space 4}-.0188578{col 80}{space 3} .0280664
{txt}{space 25} {c |}
{space 20}_cons {c |}{col 27}{res}{space 2}-.2355881{col 39}{space 2} .1263152{col 50}{space 1}   -1.87{col 59}{space 3}0.078{col 67}{space 4}-.4999687{col 80}{space 3} .0287926
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *Model 3
. areg Support i.libtrump##c.issue_salience i.contrump##c.issue_salience if salience_sd != 0, absorb(Question) cluster(caseid)
{txt}note: {bf:issue_salience} omitted because of collinearity.
{res}
{txt}{col 1}Linear regression, absorbing indicators{col 53}{lalign 17:Number of obs}{col 70} = {res}{ralign 6:19,536}
{txt}{col 1}Absorbed variable: {res:Question}{col 53}{lalign 17:No. of categories}{col 70} = {res}{ralign 6:20}
{txt}{col 53}{lalign 17:F({res:5}, {res:983})}{col 70} = {res}{ralign 6:115.72}
{txt}{col 53}{lalign 17:Prob > F}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 53}{lalign 17:R-squared}{col 70} = {res}{ralign 6:0.1384}
{txt}{col 53}{lalign 17:Adj R-squared}{col 70} = {res}{ralign 6:0.1373}
{txt}{col 53}{lalign 17:Root MSE}{col 70} = {res}{ralign 6:0.8338}

{txt}{ralign 91:(Std. err. adjusted for {res:984} clusters in {res:caseid})}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                  Support{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}1.libtrump {c |}{col 27}{res}{space 2}  .200292{col 39}{space 2}  .063793{col 50}{space 1}    3.14{col 59}{space 3}0.002{col 67}{space 4} .0751058{col 80}{space 3} .3254781
{txt}{space 11}issue_salience {c |}{col 27}{res}{space 2} .1972594{col 39}{space 2} .0121804{col 50}{space 1}   16.19{col 59}{space 3}0.000{col 67}{space 4} .1733568{col 80}{space 3} .2211619
{txt}{space 25} {c |}
libtrump#c.issue_salience {c |}
{space 23}1  {c |}{col 27}{res}{space 2}-.0278171{col 39}{space 2} .0145529{col 50}{space 1}   -1.91{col 59}{space 3}0.056{col 67}{space 4}-.0563754{col 80}{space 3} .0007412
{txt}{space 25} {c |}
{space 15}1.contrump {c |}{col 27}{res}{space 2}-.1077175{col 39}{space 2} .0655759{col 50}{space 1}   -1.64{col 59}{space 3}0.101{col 67}{space 4}-.2364023{col 80}{space 3} .0209673
{txt}{space 11}issue_salience {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 25} {c |}
contrump#c.issue_salience {c |}
{space 23}1  {c |}{col 27}{res}{space 2} .0072507{col 39}{space 2} .0149661{col 50}{space 1}    0.48{col 59}{space 3}0.628{col 67}{space 4}-.0221185{col 80}{space 3}   .03662
{txt}{space 25} {c |}
{space 20}_cons {c |}{col 27}{res}{space 2}-.5804902{col 39}{space 2}  .052898{col 50}{space 1}  -10.97{col 59}{space 3}0.000{col 67}{space 4}-.6842961{col 80}{space 3}-.4766842
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *Model 4
. regress Support i.libtrump##c.issue_salience i.contrump##c.issue_salience salience_ave if salience_sd != 0, cluster(Question)
{txt}{p 0 6 2}note: {bf:issue_salience} omitted because of collinearity.{p_end}

Linear regression                               Number of obs     = {res}    19,536
                                                {txt}F(6, 19)          =  {res}   133.40
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0920
                                                {txt}Root MSE          =    {res} .85552

{txt}{ralign 91:(Std. err. adjusted for {res:20} clusters in {res:Question})}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                  Support{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}1.libtrump {c |}{col 27}{res}{space 2}  .170208{col 39}{space 2} .0445919{col 50}{space 1}    3.82{col 59}{space 3}0.001{col 67}{space 4}  .076876{col 80}{space 3} .2635399
{txt}{space 11}issue_salience {c |}{col 27}{res}{space 2} .1072609{col 39}{space 2} .0578443{col 50}{space 1}    1.85{col 59}{space 3}0.079{col 67}{space 4}-.0138087{col 80}{space 3} .2283304
{txt}{space 25} {c |}
libtrump#c.issue_salience {c |}
{space 23}1  {c |}{col 27}{res}{space 2}-.0197702{col 39}{space 2} .0119753{col 50}{space 1}   -1.65{col 59}{space 3}0.115{col 67}{space 4}-.0448349{col 80}{space 3} .0052944
{txt}{space 25} {c |}
{space 15}1.contrump {c |}{col 27}{res}{space 2}-.1115657{col 39}{space 2} .0797938{col 50}{space 1}   -1.40{col 59}{space 3}0.178{col 67}{space 4} -.278576{col 80}{space 3} .0554446
{txt}{space 11}issue_salience {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 25} {c |}
contrump#c.issue_salience {c |}
{space 23}1  {c |}{col 27}{res}{space 2} .0080377{col 39}{space 2} .0166403{col 50}{space 1}    0.48{col 59}{space 3}0.635{col 67}{space 4}-.0267907{col 80}{space 3} .0428662
{txt}{space 25} {c |}
{space 13}salience_ave {c |}{col 27}{res}{space 2} .3798001{col 39}{space 2} .0621312{col 50}{space 1}    6.11{col 59}{space 3}0.000{col 67}{space 4} .2497579{col 80}{space 3} .5098422
{txt}{space 20}_cons {c |}{col 27}{res}{space 2}-1.793851{col 39}{space 2} .1613971{col 50}{space 1}  -11.11{col 59}{space 3}0.000{col 67}{space 4}-2.131659{col 80}{space 3}-1.456043
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. *Model 5
. regress Support i.libtrump##c.issue_salience i.contrump##c.issue_salience salience_ave if salience_sd != 0, absorb(Question) cluster(Question)
{txt}{p 0 6 2}note: {bf:issue_salience} omitted because of collinearity.{p_end}

Linear regression, absorbing indicators         Number of obs     = {res}    19,536
                                                {txt}{help j_robustsingular:F(5, 19) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1784
                                                {txt}Adj R-squared     = {res}    0.1773
                                                {txt}Root MSE          =    {res} .81422

{txt}{ralign 91:(Std. err. adjusted for {res:20} clusters in {res:Question})}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                  Support{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}1.libtrump {c |}{col 27}{res}{space 2} .1872161{col 39}{space 2} .0392716{col 50}{space 1}    4.77{col 59}{space 3}0.000{col 67}{space 4} .1050197{col 80}{space 3} .2694126
{txt}{space 11}issue_salience {c |}{col 27}{res}{space 2} .0732562{col 39}{space 2} .0628834{col 50}{space 1}    1.16{col 59}{space 3}0.258{col 67}{space 4}-.0583604{col 80}{space 3} .2048727
{txt}{space 25} {c |}
libtrump#c.issue_salience {c |}
{space 23}1  {c |}{col 27}{res}{space 2}-.0255983{col 39}{space 2} .0109191{col 50}{space 1}   -2.34{col 59}{space 3}0.030{col 67}{space 4}-.0484522{col 80}{space 3}-.0027445
{txt}{space 25} {c |}
{space 15}1.contrump {c |}{col 27}{res}{space 2}-.1206751{col 39}{space 2} .0751973{col 50}{space 1}   -1.60{col 59}{space 3}0.125{col 67}{space 4}-.2780649{col 80}{space 3} .0367148
{txt}{space 11}issue_salience {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 25} {c |}
contrump#c.issue_salience {c |}
{space 23}1  {c |}{col 27}{res}{space 2} .0100948{col 39}{space 2} .0158193{col 50}{space 1}    0.64{col 59}{space 3}0.531{col 67}{space 4}-.0230154{col 80}{space 3} .0432049
{txt}{space 25} {c |}
{space 13}salience_ave {c |}{col 27}{res}{space 2} .4153288{col 39}{space 2} .0598587{col 50}{space 1}    6.94{col 59}{space 3}0.000{col 67}{space 4}  .290043{col 80}{space 3} .5406146
{txt}{space 20}_cons {c |}{col 27}{res}{space 2}-1.797663{col 39}{space 2} .1220462{col 50}{space 1}  -14.73{col 59}{space 3}0.000{col 67}{space 4}-2.053108{col 80}{space 3}-1.542217
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. *Model 6
. areg Support i.Question i.libtrump##c.issue_salience i.contrump##c.issue_salience if salience_sd != 0, absorb(caseid) cluster(Question)
{txt}note: {bf:issue_salience} omitted because of collinearity.
{res}
{txt}{col 1}Linear regression, absorbing indicators{col 53}{lalign 17:Number of obs}{col 70} = {res}{ralign 6:19,536}
{txt}{col 1}Absorbed variable: {res:caseid}{col 53}{lalign 17:No. of categories}{col 70} = {res}{ralign 6:984}
{txt}{col 53}{lalign 17:{help j_robustsingular##|_new:F(19, 19)}}{col 70} = {res}{ralign 6:.}
{txt}{col 53}{lalign 17:Prob > F}{col 70} = {res}{ralign 6:.}
{txt}{col 53}{lalign 17:R-squared}{col 70} = {res}{ralign 6:0.4701}
{txt}{col 53}{lalign 17:Adj R-squared}{col 70} = {res}{ralign 6:0.4413}
{txt}{col 53}{lalign 17:Root MSE}{col 70} = {res}{ralign 6:0.6709}

{txt}{ralign 91:(Std. err. adjusted for {res:20} clusters in {res:Question})}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                  Support{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}Question {c |}
{space 10}"Tax Increase"  {c |}{col 27}{res}{space 2} .0527953{col 39}{space 2} .0080315{col 50}{space 1}    6.57{col 59}{space 3}0.000{col 67}{space 4} .0359851{col 80}{space 3} .0696055
{txt}{space 14}"Abortion"  {c |}{col 27}{res}{space 2} .0857802{col 39}{space 2} .0050358{col 50}{space 1}   17.03{col 59}{space 3}0.000{col 67}{space 4} .0752401{col 80}{space 3} .0963202
{txt}{space 11}"Immigration"  {c |}{col 27}{res}{space 2}-.3037773{col 39}{space 2} .0075895{col 50}{space 1}  -40.03{col 59}{space 3}0.000{col 67}{space 4}-.3196623{col 80}{space 3}-.2878924
{txt}{space 10} "School Guns"  {c |}{col 27}{res}{space 2}-.2278204{col 39}{space 2}  .009197{col 50}{space 1}  -24.77{col 59}{space 3}0.000{col 67}{space 4}-.2470699{col 80}{space 3}-.2085709
{txt}{space 11}"Health Care"  {c |}{col 27}{res}{space 2}-.2255709{col 39}{space 2} .0117278{col 50}{space 1}  -19.23{col 59}{space 3}0.000{col 67}{space 4}-.2501175{col 80}{space 3}-.2010244
{txt}{space 7}"Guns Background"  {c |}{col 27}{res}{space 2} .3191737{col 39}{space 2} .0091751{col 50}{space 1}   34.79{col 59}{space 3}0.000{col 67}{space 4}   .29997{col 80}{space 3} .3383774
{txt}{space 8}"Climate Change"  {c |}{col 27}{res}{space 2}-.0892271{col 39}{space 2} .0033871{col 50}{space 1}  -26.34{col 59}{space 3}0.000{col 67}{space 4}-.0963163{col 80}{space 3}-.0821379
{txt}{space 4}"Planned Parenthood"  {c |}{col 27}{res}{space 2}-.2833625{col 39}{space 2}  .006047{col 50}{space 1}  -46.86{col 59}{space 3}0.000{col 67}{space 4} -.296019{col 80}{space 3}-.2707059
{txt}{space 11}"North Korea"  {c |}{col 27}{res}{space 2}-.4219807{col 39}{space 2} .0006427{col 50}{space 1} -656.59{col 59}{space 3}0.000{col 67}{space 4}-.4233259{col 80}{space 3}-.4206355
{txt}{space 10}"China Tarrif"  {c |}{col 27}{res}{space 2}-.4371086{col 39}{space 2} .0005651{col 50}{space 1} -773.47{col 59}{space 3}0.000{col 67}{space 4}-.4382915{col 80}{space 3}-.4359258
{txt}{space 10}"Steel Tarrif"  {c |}{col 27}{res}{space 2}-.3140249{col 39}{space 2} .0005934{col 50}{space 1} -529.17{col 59}{space 3}0.000{col 67}{space 4}-.3152669{col 80}{space 3}-.3127828
{txt}{space 8}"Remove Mueller"  {c |}{col 27}{res}{space 2}-.1314008{col 39}{space 2} .0063582{col 50}{space 1}  -20.67{col 59}{space 3}0.000{col 67}{space 4}-.1447086{col 80}{space 3} -.118093
{txt}{space 10}"Cut Medicare"  {c |}{col 27}{res}{space 2} .3504295{col 39}{space 2} .0092078{col 50}{space 1}   38.06{col 59}{space 3}0.000{col 67}{space 4} .3311574{col 80}{space 3} .3697016
{txt}{space 11}"Drug Prices"  {c |}{col 27}{res}{space 2} .2525004{col 39}{space 2} .0080407{col 50}{space 1}   31.40{col 59}{space 3}0.000{col 67}{space 4} .2356709{col 80}{space 3} .2693298
{txt}{space 11}"Food Stamps"  {c |}{col 27}{res}{space 2}-.5921536{col 39}{space 2} .0035302{col 50}{space 1} -167.74{col 59}{space 3}0.000{col 67}{space 4}-.5995425{col 80}{space 3}-.5847647
{txt}{space 10}"Oil Drilling"  {c |}{col 27}{res}{space 2}-.4010183{col 39}{space 2} .0034156{col 50}{space 1} -117.41{col 59}{space 3}0.000{col 67}{space 4}-.4081673{col 80}{space 3}-.3938694
{txt}{space 10}"Comey Unfair"  {c |}{col 27}{res}{space 2}-.4433112{col 39}{space 2} .0063151{col 50}{space 1}  -70.20{col 59}{space 3}0.000{col 67}{space 4}-.4565288{col 80}{space 3}-.4300935
{txt}{space 11}"Puerto Rico"  {c |}{col 27}{res}{space 2} .0773651{col 39}{space 2} .0033169{col 50}{space 1}   23.32{col 59}{space 3}0.000{col 67}{space 4} .0704227{col 80}{space 3} .0843075
{txt}{space 10}"Support DACA"  {c |}{col 27}{res}{space 2}-.2866253{col 39}{space 2} .0075072{col 50}{space 1}  -38.18{col 59}{space 3}0.000{col 67}{space 4} -.302338{col 80}{space 3}-.2709126
{txt}{space 25} {c |}
{space 15}1.libtrump {c |}{col 27}{res}{space 2} .2565648{col 39}{space 2}   .04382{col 50}{space 1}    5.85{col 59}{space 3}0.000{col 67}{space 4} .1648485{col 80}{space 3} .3482811
{txt}{space 11}issue_salience {c |}{col 27}{res}{space 2} .0783605{col 39}{space 2} .0193498{col 50}{space 1}    4.05{col 59}{space 3}0.001{col 67}{space 4} .0378608{col 80}{space 3} .1188601
{txt}{space 25} {c |}
libtrump#c.issue_salience {c |}
{space 23}1  {c |}{col 27}{res}{space 2}-.0374461{col 39}{space 2} .0117288{col 50}{space 1}   -3.19{col 59}{space 3}0.005{col 67}{space 4}-.0619947{col 80}{space 3}-.0128975
{txt}{space 25} {c |}
{space 15}1.contrump {c |}{col 27}{res}{space 2}-.1011218{col 39}{space 2} .0461447{col 50}{space 1}   -2.19{col 59}{space 3}0.041{col 67}{space 4}-.1977039{col 80}{space 3}-.0045397
{txt}{space 11}issue_salience {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 25} {c |}
contrump#c.issue_salience {c |}
{space 23}1  {c |}{col 27}{res}{space 2} .0068126{col 39}{space 2} .0100943{col 50}{space 1}    0.67{col 59}{space 3}0.508{col 67}{space 4} -.014315{col 80}{space 3} .0279402
{txt}{space 25} {c |}
{space 20}_cons {c |}{col 27}{res}{space 2} .0608284{col 39}{space 2} .0761162{col 50}{space 1}    0.80{col 59}{space 3}0.434{col 67}{space 4}-.0984846{col 80}{space 3} .2201413
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *Model 7
. regress Support i.libtrump##c.issue_salience i.contrump##c.issue_salience knowledge party_strength trump_favor ideo5b if salience_sd != 0, cluster(Question)
{txt}{p 0 6 2}note: {bf:issue_salience} omitted because of collinearity.{p_end}

Linear regression                               Number of obs     = {res}    18,163
                                                {txt}F(9, 19)          =  {res}   121.03
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.3103
                                                {txt}Root MSE          =    {res} .75345

{txt}{ralign 91:(Std. err. adjusted for {res:20} clusters in {res:Question})}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                  Support{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}1.libtrump {c |}{col 27}{res}{space 2} .2424191{col 39}{space 2} .0595317{col 50}{space 1}    4.07{col 59}{space 3}0.001{col 67}{space 4} .1178177{col 80}{space 3} .3670205
{txt}{space 11}issue_salience {c |}{col 27}{res}{space 2} .1264667{col 39}{space 2} .0264148{col 50}{space 1}    4.79{col 59}{space 3}0.000{col 67}{space 4} .0711798{col 80}{space 3} .1817535
{txt}{space 25} {c |}
libtrump#c.issue_salience {c |}
{space 23}1  {c |}{col 27}{res}{space 2}-.0306694{col 39}{space 2}  .014552{col 50}{space 1}   -2.11{col 59}{space 3}0.049{col 67}{space 4}-.0611271{col 80}{space 3}-.0002117
{txt}{space 25} {c |}
{space 15}1.contrump {c |}{col 27}{res}{space 2}-.0900631{col 39}{space 2} .0744666{col 50}{space 1}   -1.21{col 59}{space 3}0.241{col 67}{space 4}-.2459235{col 80}{space 3} .0657974
{txt}{space 11}issue_salience {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 25} {c |}
contrump#c.issue_salience {c |}
{space 23}1  {c |}{col 27}{res}{space 2} .0054378{col 39}{space 2} .0151794{col 50}{space 1}    0.36{col 59}{space 3}0.724{col 67}{space 4} -.026333{col 80}{space 3} .0372086
{txt}{space 25} {c |}
{space 16}knowledge {c |}{col 27}{res}{space 2}-.0087577{col 39}{space 2} .0081864{col 50}{space 1}   -1.07{col 59}{space 3}0.298{col 67}{space 4} -.025892{col 80}{space 3} .0083766
{txt}{space 11}party_strength {c |}{col 27}{res}{space 2} .0204662{col 39}{space 2} .0091777{col 50}{space 1}    2.23{col 59}{space 3}0.038{col 67}{space 4} .0012571{col 80}{space 3} .0396754
{txt}{space 14}trump_favor {c |}{col 27}{res}{space 2}-.2664363{col 39}{space 2} .0219116{col 50}{space 1}  -12.16{col 59}{space 3}0.000{col 67}{space 4}-.3122978{col 80}{space 3}-.2205748
{txt}{space 19}ideo5b {c |}{col 27}{res}{space 2}-.1210951{col 39}{space 2} .0134079{col 50}{space 1}   -9.03{col 59}{space 3}0.000{col 67}{space 4}-.1491581{col 80}{space 3} -.093032
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .6614219{col 39}{space 2} .1566657{col 50}{space 1}    4.22{col 59}{space 3}0.000{col 67}{space 4} .3335168{col 80}{space 3}  .989327
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. *Model 8
. areg Support i.libtrump##c.issue_salience i.contrump##c.issue_salience knowledge party_strength trump_favor ideo5b if salience_sd != 0, absorb(Question) cluster(caseid)
{txt}note: {bf:issue_salience} omitted because of collinearity.
{res}
{txt}{col 1}Linear regression, absorbing indicators{col 53}{lalign 17:Number of obs}{col 70} = {res}{ralign 6:18,163}
{txt}{col 1}Absorbed variable: {res:Question}{col 53}{lalign 17:No. of categories}{col 70} = {res}{ralign 6:20}
{txt}{col 53}{lalign 17:F({res:9}, {res:914})}{col 70} = {res}{ralign 6:547.31}
{txt}{col 53}{lalign 17:Prob > F}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 53}{lalign 17:R-squared}{col 70} = {res}{ralign 6:0.3941}
{txt}{col 53}{lalign 17:Adj R-squared}{col 70} = {res}{ralign 6:0.3932}
{txt}{col 53}{lalign 17:Root MSE}{col 70} = {res}{ralign 6:0.7066}

{txt}{ralign 91:(Std. err. adjusted for {res:915} clusters in {res:caseid})}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                  Support{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}1.libtrump {c |}{col 27}{res}{space 2} .2651447{col 39}{space 2} .0611265{col 50}{space 1}    4.34{col 59}{space 3}0.000{col 67}{space 4} .1451801{col 80}{space 3} .3851094
{txt}{space 11}issue_salience {c |}{col 27}{res}{space 2}  .104228{col 39}{space 2} .0102305{col 50}{space 1}   10.19{col 59}{space 3}0.000{col 67}{space 4} .0841499{col 80}{space 3}  .124306
{txt}{space 25} {c |}
libtrump#c.issue_salience {c |}
{space 23}1  {c |}{col 27}{res}{space 2}-.0374972{col 39}{space 2} .0138308{col 50}{space 1}   -2.71{col 59}{space 3}0.007{col 67}{space 4} -.064641{col 80}{space 3}-.0103535
{txt}{space 25} {c |}
{space 15}1.contrump {c |}{col 27}{res}{space 2}-.0967767{col 39}{space 2} .0574922{col 50}{space 1}   -1.68{col 59}{space 3}0.093{col 67}{space 4}-.2096088{col 80}{space 3} .0160554
{txt}{space 11}issue_salience {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 25} {c |}
contrump#c.issue_salience {c |}
{space 23}1  {c |}{col 27}{res}{space 2} .0070042{col 39}{space 2} .0128997{col 50}{space 1}    0.54{col 59}{space 3}0.587{col 67}{space 4}-.0183123{col 80}{space 3} .0323206
{txt}{space 25} {c |}
{space 16}knowledge {c |}{col 27}{res}{space 2}-.0079628{col 39}{space 2} .0045456{col 50}{space 1}   -1.75{col 59}{space 3}0.080{col 67}{space 4}-.0168838{col 80}{space 3} .0009583
{txt}{space 11}party_strength {c |}{col 27}{res}{space 2} .0215487{col 39}{space 2} .0085351{col 50}{space 1}    2.52{col 59}{space 3}0.012{col 67}{space 4}  .004798{col 80}{space 3} .0382995
{txt}{space 14}trump_favor {c |}{col 27}{res}{space 2}-.2684232{col 39}{space 2} .0105709{col 50}{space 1}  -25.39{col 59}{space 3}0.000{col 67}{space 4}-.2891692{col 80}{space 3}-.2476771
{txt}{space 19}ideo5b {c |}{col 27}{res}{space 2}-.1230677{col 39}{space 2}  .010774{col 50}{space 1}  -11.42{col 59}{space 3}0.000{col 67}{space 4}-.1442124{col 80}{space 3}-.1019231
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .7593186{col 39}{space 2} .0616099{col 50}{space 1}   12.32{col 59}{space 3}0.000{col 67}{space 4} .6384052{col 80}{space 3}  .880232
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. 
. 
. 
. **********************************************
. *TABLE A10: Models Omitting `Don't Know' Responses
. 
. *Model 1
. regress Support i.libtrump##c.issue_salience i.contrump##c.issue_salience if Support != 0, cluster(Question)
{txt}{p 0 6 2}note: {bf:issue_salience} omitted because of collinearity.{p_end}

Linear regression                               Number of obs     = {res}    17,715
                                                {txt}F(5, 19)          =  {res}    60.14
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0639
                                                {txt}Root MSE          =    {res} .92441

{txt}{ralign 91:(Std. err. adjusted for {res:20} clusters in {res:Question})}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                  Support{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}1.libtrump {c |}{col 27}{res}{space 2} .2396111{col 39}{space 2}   .05658{col 50}{space 1}    4.23{col 59}{space 3}0.000{col 67}{space 4} .1211877{col 80}{space 3} .3580345
{txt}{space 11}issue_salience {c |}{col 27}{res}{space 2} .2415899{col 39}{space 2} .0486371{col 50}{space 1}    4.97{col 59}{space 3}0.000{col 67}{space 4} .1397911{col 80}{space 3} .3433886
{txt}{space 25} {c |}
libtrump#c.issue_salience {c |}
{space 23}1  {c |}{col 27}{res}{space 2}-.0332174{col 39}{space 2} .0140472{col 50}{space 1}   -2.36{col 59}{space 3}0.029{col 67}{space 4}-.0626186{col 80}{space 3}-.0038163
{txt}{space 25} {c |}
{space 15}1.contrump {c |}{col 27}{res}{space 2}-.1472932{col 39}{space 2} .0973497{col 50}{space 1}   -1.51{col 59}{space 3}0.147{col 67}{space 4}-.3510484{col 80}{space 3}  .056462
{txt}{space 11}issue_salience {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 25} {c |}
contrump#c.issue_salience {c |}
{space 23}1  {c |}{col 27}{res}{space 2} .0137064{col 39}{space 2} .0201409{col 50}{space 1}    0.68{col 59}{space 3}0.504{col 67}{space 4} -.028449{col 80}{space 3} .0558619
{txt}{space 25} {c |}
{space 20}_cons {c |}{col 27}{res}{space 2}-.7322819{col 39}{space 2}  .219802{col 50}{space 1}   -3.33{col 59}{space 3}0.004{col 67}{space 4}-1.192333{col 80}{space 3}-.2722311
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. *Model 2
. areg Support i.libtrump##c.issue_salience i.contrump##c.issue_salience if Support != 0, absorb(caseid) cluster(Question)
{txt}note: {bf:issue_salience} omitted because of collinearity.
{res}
{txt}{col 1}Linear regression, absorbing indicators{col 53}{lalign 17:Number of obs}{col 70} = {res}{ralign 6:17,715}
{txt}{col 1}Absorbed variable: {res:caseid}{col 53}{lalign 17:No. of categories}{col 70} = {res}{ralign 6:1,026}
{txt}{col 53}{lalign 17:F({res:5}, {res:19})}{col 70} = {res}{ralign 6:107.81}
{txt}{col 53}{lalign 17:Prob > F}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 53}{lalign 17:R-squared}{col 70} = {res}{ralign 6:0.4206}
{txt}{col 53}{lalign 17:Adj R-squared}{col 70} = {res}{ralign 6:0.3848}
{txt}{col 53}{lalign 17:Root MSE}{col 70} = {res}{ralign 6:0.7493}

{txt}{ralign 91:(Std. err. adjusted for {res:20} clusters in {res:Question})}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                  Support{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}1.libtrump {c |}{col 27}{res}{space 2} .3104584{col 39}{space 2} .0559346{col 50}{space 1}    5.55{col 59}{space 3}0.000{col 67}{space 4} .1933859{col 80}{space 3} .4275309
{txt}{space 11}issue_salience {c |}{col 27}{res}{space 2} .1112157{col 39}{space 2} .0324529{col 50}{space 1}    3.43{col 59}{space 3}0.003{col 67}{space 4} .0432909{col 80}{space 3} .1791405
{txt}{space 25} {c |}
libtrump#c.issue_salience {c |}
{space 23}1  {c |}{col 27}{res}{space 2}-.0465465{col 39}{space 2}  .014702{col 50}{space 1}   -3.17{col 59}{space 3}0.005{col 67}{space 4}-.0773181{col 80}{space 3} -.015775
{txt}{space 25} {c |}
{space 15}1.contrump {c |}{col 27}{res}{space 2}-.1242437{col 39}{space 2} .0717405{col 50}{space 1}   -1.73{col 59}{space 3}0.100{col 67}{space 4}-.2743984{col 80}{space 3}  .025911
{txt}{space 11}issue_salience {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 25} {c |}
contrump#c.issue_salience {c |}
{space 23}1  {c |}{col 27}{res}{space 2} .0090218{col 39}{space 2} .0149031{col 50}{space 1}    0.61{col 59}{space 3}0.552{col 67}{space 4}-.0221708{col 80}{space 3} .0402144
{txt}{space 25} {c |}
{space 20}_cons {c |}{col 27}{res}{space 2}-.1844643{col 39}{space 2} .1406925{col 50}{space 1}   -1.31{col 59}{space 3}0.205{col 67}{space 4} -.478937{col 80}{space 3} .1100085
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *Model 3
. areg Support i.libtrump##c.issue_salience i.contrump##c.issue_salience if Support != 0, absorb(Question) cluster(caseid)
{txt}note: {bf:issue_salience} omitted because of collinearity.
{res}
{txt}{col 1}Linear regression, absorbing indicators{col 53}{lalign 17:Number of obs}{col 70} = {res}{ralign 6:17,715}
{txt}{col 1}Absorbed variable: {res:Question}{col 53}{lalign 17:No. of categories}{col 70} = {res}{ralign 6:20}
{txt}{col 53}{lalign 17:F({res:5}, {res:1025})}{col 70} = {res}{ralign 6:119.25}
{txt}{col 53}{lalign 17:Prob > F}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 53}{lalign 17:R-squared}{col 70} = {res}{ralign 6:0.1489}
{txt}{col 53}{lalign 17:Adj R-squared}{col 70} = {res}{ralign 6:0.1478}
{txt}{col 53}{lalign 17:Root MSE}{col 70} = {res}{ralign 6:0.8819}

{txt}{ralign 91:(Std. err. adjusted for {res:1,026} clusters in {res:caseid})}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                  Support{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}1.libtrump {c |}{col 27}{res}{space 2} .2509048{col 39}{space 2} .0752898{col 50}{space 1}    3.33{col 59}{space 3}0.001{col 67}{space 4} .1031649{col 80}{space 3} .3986446
{txt}{space 11}issue_salience {c |}{col 27}{res}{space 2} .2252077{col 39}{space 2} .0136131{col 50}{space 1}   16.54{col 59}{space 3}0.000{col 67}{space 4} .1984949{col 80}{space 3} .2519206
{txt}{space 25} {c |}
libtrump#c.issue_salience {c |}
{space 23}1  {c |}{col 27}{res}{space 2}-.0381711{col 39}{space 2} .0168325{col 50}{space 1}   -2.27{col 59}{space 3}0.024{col 67}{space 4}-.0712011{col 80}{space 3} -.005141
{txt}{space 25} {c |}
{space 15}1.contrump {c |}{col 27}{res}{space 2}-.1446206{col 39}{space 2} .0740569{col 50}{space 1}   -1.95{col 59}{space 3}0.051{col 67}{space 4}-.2899411{col 80}{space 3} .0006998
{txt}{space 11}issue_salience {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 25} {c |}
contrump#c.issue_salience {c |}
{space 23}1  {c |}{col 27}{res}{space 2}  .014351{col 39}{space 2} .0165492{col 50}{space 1}    0.87{col 59}{space 3}0.386{col 67}{space 4}-.0181233{col 80}{space 3} .0468252
{txt}{space 25} {c |}
{space 20}_cons {c |}{col 27}{res}{space 2}-.6613883{col 39}{space 2} .0607183{col 50}{space 1}  -10.89{col 59}{space 3}0.000{col 67}{space 4}-.7805346{col 80}{space 3} -.542242
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *Model 4
. regress Support i.libtrump##c.issue_salience i.contrump##c.issue_salience salience_ave if Support != 0, cluster(Question)
{txt}{p 0 6 2}note: {bf:issue_salience} omitted because of collinearity.{p_end}

Linear regression                               Number of obs     = {res}    17,715
                                                {txt}F(6, 19)          =  {res}   117.83
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1019
                                                {txt}Root MSE          =    {res} .90553

{txt}{ralign 91:(Std. err. adjusted for {res:20} clusters in {res:Question})}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                  Support{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}1.libtrump {c |}{col 27}{res}{space 2} .2283157{col 39}{space 2} .0482606{col 50}{space 1}    4.73{col 59}{space 3}0.000{col 67}{space 4} .1273051{col 80}{space 3} .3293262
{txt}{space 11}issue_salience {c |}{col 27}{res}{space 2} .1173952{col 39}{space 2} .0682389{col 50}{space 1}    1.72{col 59}{space 3}0.102{col 67}{space 4}-.0254305{col 80}{space 3} .2602209
{txt}{space 25} {c |}
libtrump#c.issue_salience {c |}
{space 23}1  {c |}{col 27}{res}{space 2}-.0320579{col 39}{space 2} .0123904{col 50}{space 1}   -2.59{col 59}{space 3}0.018{col 67}{space 4}-.0579913{col 80}{space 3}-.0061245
{txt}{space 25} {c |}
{space 15}1.contrump {c |}{col 27}{res}{space 2}-.1664857{col 39}{space 2} .0995512{col 50}{space 1}   -1.67{col 59}{space 3}0.111{col 67}{space 4}-.3748487{col 80}{space 3} .0418773
{txt}{space 11}issue_salience {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 25} {c |}
contrump#c.issue_salience {c |}
{space 23}1  {c |}{col 27}{res}{space 2} .0174244{col 39}{space 2} .0203996{col 50}{space 1}    0.85{col 59}{space 3}0.404{col 67}{space 4}-.0252724{col 80}{space 3} .0601212
{txt}{space 25} {c |}
{space 13}salience_ave {c |}{col 27}{res}{space 2} .4168895{col 39}{space 2} .0737781{col 50}{space 1}    5.65{col 59}{space 3}0.000{col 67}{space 4} .2624701{col 80}{space 3} .5713088
{txt}{space 20}_cons {c |}{col 27}{res}{space 2}-1.961599{col 39}{space 2} .2144016{col 50}{space 1}   -9.15{col 59}{space 3}0.000{col 67}{space 4}-2.410347{col 80}{space 3}-1.512852
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. *Model 5
. regress Support i.libtrump##c.issue_salience i.contrump##c.issue_salience salience_ave if Support != 0, absorb(Question) cluster(Question)
{txt}{p 0 6 2}note: {bf:issue_salience} omitted because of collinearity.{p_end}

Linear regression, absorbing indicators         Number of obs     = {res}    17,715
                                                {txt}{help j_robustsingular:F(5, 19) }         =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1910
                                                {txt}Adj R-squared     = {res}    0.1899
                                                {txt}Root MSE          =    {res} .85987

{txt}{ralign 91:(Std. err. adjusted for {res:20} clusters in {res:Question})}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                  Support{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}1.libtrump {c |}{col 27}{res}{space 2} .2385064{col 39}{space 2} .0382839{col 50}{space 1}    6.23{col 59}{space 3}0.000{col 67}{space 4} .1583773{col 80}{space 3} .3186355
{txt}{space 11}issue_salience {c |}{col 27}{res}{space 2} .0823469{col 39}{space 2} .0714549{col 50}{space 1}    1.15{col 59}{space 3}0.263{col 67}{space 4}-.0672099{col 80}{space 3} .2319037
{txt}{space 25} {c |}
libtrump#c.issue_salience {c |}
{space 23}1  {c |}{col 27}{res}{space 2}-.0367798{col 39}{space 2} .0101351{col 50}{space 1}   -3.63{col 59}{space 3}0.002{col 67}{space 4}-.0579929{col 80}{space 3}-.0155668
{txt}{space 25} {c |}
{space 15}1.contrump {c |}{col 27}{res}{space 2}-.1684727{col 39}{space 2} .0878773{col 50}{space 1}   -1.92{col 59}{space 3}0.070{col 67}{space 4} -.352402{col 80}{space 3} .0154567
{txt}{space 11}issue_salience {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 25} {c |}
contrump#c.issue_salience {c |}
{space 23}1  {c |}{col 27}{res}{space 2} .0193175{col 39}{space 2} .0179887{col 50}{space 1}    1.07{col 59}{space 3}0.296{col 67}{space 4}-.0183334{col 80}{space 3} .0569683
{txt}{space 25} {c |}
{space 13}salience_ave {c |}{col 27}{res}{space 2} .4461749{col 39}{space 2} .0703997{col 50}{space 1}    6.34{col 59}{space 3}0.000{col 67}{space 4} .2988266{col 80}{space 3} .5935233
{txt}{space 20}_cons {c |}{col 27}{res}{space 2}-1.935255{col 39}{space 2}   .16505{col 50}{space 1}  -11.73{col 59}{space 3}0.000{col 67}{space 4}-2.280709{col 80}{space 3}-1.589802
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. *Model 6
. areg Support i.Question i.libtrump##c.issue_salience i.contrump##c.issue_salience if Support != 0, absorb(caseid) cluster(Question)
{txt}note: {bf:issue_salience} omitted because of collinearity.
{res}
{txt}{col 1}Linear regression, absorbing indicators{col 53}{lalign 17:Number of obs}{col 70} = {res}{ralign 6:17,715}
{txt}{col 1}Absorbed variable: {res:caseid}{col 53}{lalign 17:No. of categories}{col 70} = {res}{ralign 6:1,026}
{txt}{col 53}{lalign 17:{help j_robustsingular##|_new:F(19, 19)}}{col 70} = {res}{ralign 6:.}
{txt}{col 53}{lalign 17:Prob > F}{col 70} = {res}{ralign 6:.}
{txt}{col 53}{lalign 17:R-squared}{col 70} = {res}{ralign 6:0.4971}
{txt}{col 53}{lalign 17:Adj R-squared}{col 70} = {res}{ralign 6:0.4654}
{txt}{col 53}{lalign 17:Root MSE}{col 70} = {res}{ralign 6:0.6984}

{txt}{ralign 91:(Std. err. adjusted for {res:20} clusters in {res:Question})}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                  Support{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}Question {c |}
{space 10}"Tax Increase"  {c |}{col 27}{res}{space 2} .0521041{col 39}{space 2} .0096492{col 50}{space 1}    5.40{col 59}{space 3}0.000{col 67}{space 4} .0319081{col 80}{space 3} .0723001
{txt}{space 14}"Abortion"  {c |}{col 27}{res}{space 2} .0761713{col 39}{space 2} .0062251{col 50}{space 1}   12.24{col 59}{space 3}0.000{col 67}{space 4}  .063142{col 80}{space 3} .0892006
{txt}{space 11}"Immigration"  {c |}{col 27}{res}{space 2} -.297651{col 39}{space 2} .0109726{col 50}{space 1}  -27.13{col 59}{space 3}0.000{col 67}{space 4}-.3206168{col 80}{space 3}-.2746851
{txt}{space 10} "School Guns"  {c |}{col 27}{res}{space 2} -.225703{col 39}{space 2} .0106187{col 50}{space 1}  -21.26{col 59}{space 3}0.000{col 67}{space 4}-.2479282{col 80}{space 3}-.2034778
{txt}{space 11}"Health Care"  {c |}{col 27}{res}{space 2}-.1939298{col 39}{space 2} .0146011{col 50}{space 1}  -13.28{col 59}{space 3}0.000{col 67}{space 4}-.2244903{col 80}{space 3}-.1633693
{txt}{space 7}"Guns Background"  {c |}{col 27}{res}{space 2} .3170413{col 39}{space 2} .0098689{col 50}{space 1}   32.13{col 59}{space 3}0.000{col 67}{space 4} .2963855{col 80}{space 3} .3376971
{txt}{space 8}"Climate Change"  {c |}{col 27}{res}{space 2}-.0803441{col 39}{space 2} .0053014{col 50}{space 1}  -15.16{col 59}{space 3}0.000{col 67}{space 4}  -.09144{col 80}{space 3}-.0692483
{txt}{space 4}"Planned Parenthood"  {c |}{col 27}{res}{space 2}-.2723827{col 39}{space 2} .0083845{col 50}{space 1}  -32.49{col 59}{space 3}0.000{col 67}{space 4}-.2899317{col 80}{space 3}-.2548337
{txt}{space 11}"North Korea"  {c |}{col 27}{res}{space 2}-.4303106{col 39}{space 2} .0053182{col 50}{space 1}  -80.91{col 59}{space 3}0.000{col 67}{space 4}-.4414418{col 80}{space 3}-.4191795
{txt}{space 10}"China Tarrif"  {c |}{col 27}{res}{space 2}-.4179726{col 39}{space 2} .0072679{col 50}{space 1}  -57.51{col 59}{space 3}0.000{col 67}{space 4}-.4331845{col 80}{space 3}-.4027606
{txt}{space 10}"Steel Tarrif"  {c |}{col 27}{res}{space 2}-.2909848{col 39}{space 2}  .006366{col 50}{space 1}  -45.71{col 59}{space 3}0.000{col 67}{space 4} -.304309{col 80}{space 3}-.2776606
{txt}{space 8}"Remove Mueller"  {c |}{col 27}{res}{space 2}-.1261389{col 39}{space 2} .0091565{col 50}{space 1}  -13.78{col 59}{space 3}0.000{col 67}{space 4}-.1453037{col 80}{space 3}-.1069741
{txt}{space 10}"Cut Medicare"  {c |}{col 27}{res}{space 2} .3473025{col 39}{space 2} .0106583{col 50}{space 1}   32.59{col 59}{space 3}0.000{col 67}{space 4} .3249944{col 80}{space 3} .3696107
{txt}{space 11}"Drug Prices"  {c |}{col 27}{res}{space 2} .2736235{col 39}{space 2} .0097901{col 50}{space 1}   27.95{col 59}{space 3}0.000{col 67}{space 4} .2531327{col 80}{space 3} .2941144
{txt}{space 11}"Food Stamps"  {c |}{col 27}{res}{space 2}-.6096025{col 39}{space 2}  .006012{col 50}{space 1} -101.40{col 59}{space 3}0.000{col 67}{space 4}-.6221857{col 80}{space 3}-.5970192
{txt}{space 10}"Oil Drilling"  {c |}{col 27}{res}{space 2}-.3876075{col 39}{space 2} .0075002{col 50}{space 1}  -51.68{col 59}{space 3}0.000{col 67}{space 4}-.4033056{col 80}{space 3}-.3719094
{txt}{space 10}"Comey Unfair"  {c |}{col 27}{res}{space 2}-.4349169{col 39}{space 2} .0096749{col 50}{space 1}  -44.95{col 59}{space 3}0.000{col 67}{space 4}-.4551667{col 80}{space 3}-.4146671
{txt}{space 11}"Puerto Rico"  {c |}{col 27}{res}{space 2} .0770445{col 39}{space 2} .0047437{col 50}{space 1}   16.24{col 59}{space 3}0.000{col 67}{space 4}  .067116{col 80}{space 3} .0869731
{txt}{space 10}"Support DACA"  {c |}{col 27}{res}{space 2}-.2797746{col 39}{space 2} .0096055{col 50}{space 1}  -29.13{col 59}{space 3}0.000{col 67}{space 4}-.2998791{col 80}{space 3}-.2596702
{txt}{space 25} {c |}
{space 15}1.libtrump {c |}{col 27}{res}{space 2} .3153496{col 39}{space 2} .0501832{col 50}{space 1}    6.28{col 59}{space 3}0.000{col 67}{space 4}  .210315{col 80}{space 3} .4203843
{txt}{space 11}issue_salience {c |}{col 27}{res}{space 2} .0777512{col 39}{space 2}  .023347{col 50}{space 1}    3.33{col 59}{space 3}0.004{col 67}{space 4} .0288854{col 80}{space 3} .1266169
{txt}{space 25} {c |}
libtrump#c.issue_salience {c |}
{space 23}1  {c |}{col 27}{res}{space 2}-.0501849{col 39}{space 2} .0133773{col 50}{space 1}   -3.75{col 59}{space 3}0.001{col 67}{space 4}-.0781838{col 80}{space 3} -.022186
{txt}{space 25} {c |}
{space 15}1.contrump {c |}{col 27}{res}{space 2}-.1281949{col 39}{space 2} .0604125{col 50}{space 1}   -2.12{col 59}{space 3}0.047{col 67}{space 4}-.2546396{col 80}{space 3}-.0017501
{txt}{space 11}issue_salience {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 25} {c |}
contrump#c.issue_salience {c |}
{space 23}1  {c |}{col 27}{res}{space 2}  .011185{col 39}{space 2} .0127202{col 50}{space 1}    0.88{col 59}{space 3}0.390{col 67}{space 4}-.0154387{col 80}{space 3} .0378087
{txt}{space 25} {c |}
{space 20}_cons {c |}{col 27}{res}{space 2} .0958265{col 39}{space 2} .0919678{col 50}{space 1}    1.04{col 59}{space 3}0.311{col 67}{space 4}-.0966643{col 80}{space 3} .2883173
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *Model 7
. regress Support i.libtrump##c.issue_salience i.contrump##c.issue_salience knowledge party_strength trump_favor ideo5b if Support != 0, cluster(Question)
{txt}{p 0 6 2}note: {bf:issue_salience} omitted because of collinearity.{p_end}

Linear regression                               Number of obs     = {res}    16,749
                                                {txt}F(9, 19)          =  {res}   137.85
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.3388
                                                {txt}Root MSE          =    {res} .77819

{txt}{ralign 91:(Std. err. adjusted for {res:20} clusters in {res:Question})}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                  Support{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}1.libtrump {c |}{col 27}{res}{space 2} .2996781{col 39}{space 2} .0677784{col 50}{space 1}    4.42{col 59}{space 3}0.000{col 67}{space 4} .1578162{col 80}{space 3} .4415399
{txt}{space 11}issue_salience {c |}{col 27}{res}{space 2} .1291629{col 39}{space 2} .0296265{col 50}{space 1}    4.36{col 59}{space 3}0.000{col 67}{space 4} .0671539{col 80}{space 3}  .191172
{txt}{space 25} {c |}
libtrump#c.issue_salience {c |}
{space 23}1  {c |}{col 27}{res}{space 2}-.0427307{col 39}{space 2} .0161886{col 50}{space 1}   -2.64{col 59}{space 3}0.016{col 67}{space 4}-.0766139{col 80}{space 3}-.0088475
{txt}{space 25} {c |}
{space 15}1.contrump {c |}{col 27}{res}{space 2}-.1283613{col 39}{space 2} .0911143{col 50}{space 1}   -1.41{col 59}{space 3}0.175{col 67}{space 4}-.3190658{col 80}{space 3} .0623432
{txt}{space 11}issue_salience {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 25} {c |}
contrump#c.issue_salience {c |}
{space 23}1  {c |}{col 27}{res}{space 2} .0121787{col 39}{space 2} .0182766{col 50}{space 1}    0.67{col 59}{space 3}0.513{col 67}{space 4}-.0260746{col 80}{space 3}  .050432
{txt}{space 25} {c |}
{space 16}knowledge {c |}{col 27}{res}{space 2}-.0171633{col 39}{space 2}  .009535{col 50}{space 1}   -1.80{col 59}{space 3}0.088{col 67}{space 4}-.0371202{col 80}{space 3} .0027936
{txt}{space 11}party_strength {c |}{col 27}{res}{space 2} .0179683{col 39}{space 2}  .009288{col 50}{space 1}    1.93{col 59}{space 3}0.068{col 67}{space 4}-.0014716{col 80}{space 3} .0374082
{txt}{space 14}trump_favor {c |}{col 27}{res}{space 2}-.2983683{col 39}{space 2} .0253433{col 50}{space 1}  -11.77{col 59}{space 3}0.000{col 67}{space 4}-.3514125{col 80}{space 3}-.2453241
{txt}{space 19}ideo5b {c |}{col 27}{res}{space 2}-.1257035{col 39}{space 2} .0132937{col 50}{space 1}   -9.46{col 59}{space 3}0.000{col 67}{space 4}-.1535276{col 80}{space 3}-.0978794
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .8217207{col 39}{space 2} .1718709{col 50}{space 1}    4.78{col 59}{space 3}0.000{col 67}{space 4} .4619906{col 80}{space 3} 1.181451
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. *Model 8
. areg Support i.libtrump##c.issue_salience i.contrump##c.issue_salience knowledge party_strength trump_favor ideo5b if Support != 0, absorb(Question) cluster(caseid)
{txt}note: {bf:issue_salience} omitted because of collinearity.
{res}
{txt}{col 1}Linear regression, absorbing indicators{col 53}{lalign 17:Number of obs}{col 70} = {res}{ralign 6:16,749}
{txt}{col 1}Absorbed variable: {res:Question}{col 53}{lalign 17:No. of categories}{col 70} = {res}{ralign 6:20}
{txt}{col 53}{lalign 17:F({res:9}, {res:954})}{col 70} = {res}{ralign 6:577.67}
{txt}{col 53}{lalign 17:Prob > F}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 53}{lalign 17:R-squared}{col 70} = {res}{ralign 6:0.4167}
{txt}{col 53}{lalign 17:Adj R-squared}{col 70} = {res}{ralign 6:0.4157}
{txt}{col 53}{lalign 17:Root MSE}{col 70} = {res}{ralign 6:0.7313}

{txt}{ralign 91:(Std. err. adjusted for {res:955} clusters in {res:caseid})}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}                  Support{col 27}{c |} Coefficient{col 39}  std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}1.libtrump {c |}{col 27}{res}{space 2} .3178002{col 39}{space 2} .0690661{col 50}{space 1}    4.60{col 59}{space 3}0.000{col 67}{space 4} .1822613{col 80}{space 3} .4533392
{txt}{space 11}issue_salience {c |}{col 27}{res}{space 2} .1065283{col 39}{space 2} .0113248{col 50}{space 1}    9.41{col 59}{space 3}0.000{col 67}{space 4}  .084304{col 80}{space 3} .1287527
{txt}{space 25} {c |}
libtrump#c.issue_salience {c |}
{space 23}1  {c |}{col 27}{res}{space 2}-.0489294{col 39}{space 2} .0154258{col 50}{space 1}   -3.17{col 59}{space 3}0.002{col 67}{space 4}-.0792017{col 80}{space 3} -.018657
{txt}{space 25} {c |}
{space 15}1.contrump {c |}{col 27}{res}{space 2}-.1294339{col 39}{space 2} .0631474{col 50}{space 1}   -2.05{col 59}{space 3}0.041{col 67}{space 4}-.2533578{col 80}{space 3}  -.00551
{txt}{space 11}issue_salience {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 25} {c |}
contrump#c.issue_salience {c |}
{space 23}1  {c |}{col 27}{res}{space 2} .0136833{col 39}{space 2} .0139369{col 50}{space 1}    0.98{col 59}{space 3}0.326{col 67}{space 4}-.0136672{col 80}{space 3} .0410339
{txt}{space 25} {c |}
{space 16}knowledge {c |}{col 27}{res}{space 2}-.0141522{col 39}{space 2} .0048663{col 50}{space 1}   -2.91{col 59}{space 3}0.004{col 67}{space 4}-.0237021{col 80}{space 3}-.0046022
{txt}{space 11}party_strength {c |}{col 27}{res}{space 2} .0183192{col 39}{space 2} .0090535{col 50}{space 1}    2.02{col 59}{space 3}0.043{col 67}{space 4} .0005521{col 80}{space 3} .0360864
{txt}{space 14}trump_favor {c |}{col 27}{res}{space 2}-.2943658{col 39}{space 2} .0113865{col 50}{space 1}  -25.85{col 59}{space 3}0.000{col 67}{space 4}-.3167112{col 80}{space 3}-.2720203
{txt}{space 19}ideo5b {c |}{col 27}{res}{space 2}-.1270066{col 39}{space 2} .0114386{col 50}{space 1}  -11.10{col 59}{space 3}0.000{col 67}{space 4}-.1494543{col 80}{space 3}-.1045588
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .8943648{col 39}{space 2} .0686211{col 50}{space 1}   13.03{col 59}{space 3}0.000{col 67}{space 4} .7596991{col 80}{space 3}  1.02903
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. 
. 
. 
. **********************************************
. *TABLE A11: Predicting Salience
. gen ideology_folded = abs(ideo5b - 3)
{txt}(2,982 missing values generated)

{com}. regress salience_ave knowledge republican democrat party_strength trump_favor ideology_folded if first_obs == 1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       956
{txt}{hline 13}{c +}{hline 34}   F(6, 949)       = {res}    42.65
{txt}       Model {c |} {res}  57.575434         6  9.59590566   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 213.529905       949  .225005169   {txt}R-squared       ={res}    0.2124
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.2074
{txt}       Total {c |} {res} 271.105339       955  .283879936   {txt}Root MSE        =   {res} .47435

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   salience_ave{col 17}{c |} Coefficient{col 29}  Std. err.{col 41}      t{col 49}   P>|t|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}knowledge {c |}{col 17}{res}{space 2} .0405484{col 29}{space 2} .0071507{col 40}{space 1}    5.67{col 49}{space 3}0.000{col 57}{space 4} .0265155{col 70}{space 3} .0545814
{txt}{space 5}republican {c |}{col 17}{res}{space 2}-.1045672{col 29}{space 2} .0700492{col 40}{space 1}   -1.49{col 49}{space 3}0.136{col 57}{space 4}-.2420365{col 70}{space 3} .0329021
{txt}{space 7}democrat {c |}{col 17}{res}{space 2} .2309869{col 29}{space 2}  .070362{col 40}{space 1}    3.28{col 49}{space 3}0.001{col 57}{space 4} .0929037{col 70}{space 3} .3690701
{txt}{space 1}party_strength {c |}{col 17}{res}{space 2} .0249591{col 29}{space 2} .0204908{col 40}{space 1}    1.22{col 49}{space 3}0.224{col 57}{space 4}-.0152535{col 70}{space 3} .0651717
{txt}{space 4}trump_favor {c |}{col 17}{res}{space 2}-.0521937{col 29}{space 2} .0198541{col 40}{space 1}   -2.63{col 49}{space 3}0.009{col 57}{space 4}-.0911568{col 70}{space 3}-.0132306
{txt}ideology_folded {c |}{col 17}{res}{space 2}  .035542{col 29}{space 2} .0219454{col 40}{space 1}    1.62{col 49}{space 3}0.106{col 57}{space 4} -.007525{col 70}{space 3} .0786091
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} 3.908354{col 29}{space 2} .0768159{col 40}{space 1}   50.88{col 49}{space 3}0.000{col 57}{space 4} 3.757605{col 70}{space 3} 4.059102
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. 
. 
. **********************************************
. *TABLE A12: Testing for Survey Demand Effects
. 
. *Model 1 - first question
. regress Support libtrump contrump issue_salience knowledge party_strength trump_favor ideo5b if Question == 1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       953
{txt}{hline 13}{c +}{hline 34}   F(7, 945)       = {res}    89.98
{txt}       Model {c |} {res} 301.784948         7  43.1121354   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 452.785881       945  .479138498   {txt}R-squared       ={res}    0.3999
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.3955
{txt}       Total {c |} {res} 754.570829       952  .792616417   {txt}Root MSE        =   {res}  .6922

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       Support{col 16}{c |} Coefficient{col 28}  Std. err.{col 40}      t{col 48}   P>|t|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}libtrump {c |}{col 16}{res}{space 2} .1707598{col 28}{space 2} .0551047{col 39}{space 1}    3.10{col 48}{space 3}0.002{col 56}{space 4}  .062618{col 69}{space 3} .2789015
{txt}{space 6}contrump {c |}{col 16}{res}{space 2}-.1022476{col 28}{space 2} .0559586{col 39}{space 1}   -1.83{col 48}{space 3}0.068{col 56}{space 4}-.2120651{col 69}{space 3}   .00757
{txt}issue_salience {c |}{col 16}{res}{space 2} .1854715{col 28}{space 2} .0231618{col 39}{space 1}    8.01{col 48}{space 3}0.000{col 56}{space 4}  .140017{col 69}{space 3}  .230926
{txt}{space 5}knowledge {c |}{col 16}{res}{space 2}-.0530206{col 28}{space 2} .0103418{col 39}{space 1}   -5.13{col 48}{space 3}0.000{col 56}{space 4}-.0733162{col 69}{space 3} -.032725
{txt}party_strength {c |}{col 16}{res}{space 2} .0139771{col 28}{space 2} .0210608{col 39}{space 1}    0.66{col 48}{space 3}0.507{col 56}{space 4}-.0273542{col 69}{space 3} .0553084
{txt}{space 3}trump_favor {c |}{col 16}{res}{space 2}-.2300782{col 28}{space 2} .0250063{col 39}{space 1}   -9.20{col 48}{space 3}0.000{col 56}{space 4}-.2791525{col 69}{space 3}-.1810039
{txt}{space 8}ideo5b {c |}{col 16}{res}{space 2}-.1279901{col 28}{space 2} .0259499{col 39}{space 1}   -4.93{col 48}{space 3}0.000{col 56}{space 4}-.1789163{col 69}{space 3} -.077064
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} .8025133{col 28}{space 2} .1617298{col 39}{space 1}    4.96{col 48}{space 3}0.000{col 56}{space 4} .4851221{col 69}{space 3} 1.119904
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. *Model 2 - questions 2 through 5
. regress Support libtrump contrump issue_salience knowledge party_strength trump_favor ideo5b if Question >1 & Question <= 5

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     3,789
{txt}{hline 13}{c +}{hline 34}   F(7, 3781)      = {res}   296.28
{txt}       Model {c |} {res} 1068.58745         7  152.655349   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 1948.12514     3,781  .515240715   {txt}R-squared       ={res}    0.3542
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.3530
{txt}       Total {c |} {res} 3016.71259     3,788  .796386639   {txt}Root MSE        =   {res}  .7178

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       Support{col 16}{c |} Coefficient{col 28}  Std. err.{col 40}      t{col 48}   P>|t|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}libtrump {c |}{col 16}{res}{space 2} .1176201{col 28}{space 2} .0283675{col 39}{space 1}    4.15{col 48}{space 3}0.000{col 56}{space 4} .0620031{col 69}{space 3} .1732371
{txt}{space 6}contrump {c |}{col 16}{res}{space 2}-.0643377{col 28}{space 2}  .028684{col 39}{space 1}   -2.24{col 48}{space 3}0.025{col 56}{space 4}-.1205753{col 69}{space 3}-.0081001
{txt}issue_salience {c |}{col 16}{res}{space 2}-.0241596{col 28}{space 2} .0144362{col 39}{space 1}   -1.67{col 48}{space 3}0.094{col 56}{space 4}-.0524631{col 69}{space 3} .0041439
{txt}{space 5}knowledge {c |}{col 16}{res}{space 2}-.0196184{col 28}{space 2} .0054164{col 39}{space 1}   -3.62{col 48}{space 3}0.000{col 56}{space 4}-.0302376{col 69}{space 3}-.0089991
{txt}party_strength {c |}{col 16}{res}{space 2} .0323775{col 28}{space 2} .0108972{col 39}{space 1}    2.97{col 48}{space 3}0.003{col 56}{space 4} .0110124{col 69}{space 3} .0537425
{txt}{space 3}trump_favor {c |}{col 16}{res}{space 2}-.2918639{col 28}{space 2} .0126627{col 39}{space 1}  -23.05{col 48}{space 3}0.000{col 56}{space 4}-.3166902{col 69}{space 3}-.2670376
{txt}{space 8}ideo5b {c |}{col 16}{res}{space 2}-.1478101{col 28}{space 2} .0133588{col 39}{space 1}  -11.06{col 48}{space 3}0.000{col 56}{space 4}-.1740013{col 69}{space 3}-.1216189
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} 1.532678{col 28}{space 2} .0811061{col 39}{space 1}   18.90{col 48}{space 3}0.000{col 56}{space 4} 1.373662{col 69}{space 3} 1.691694
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. *Model 3 - questions 6 through 20
. regress Support libtrump contrump issue_salience knowledge party_strength trump_favor ideo5b if Question > 5

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}    14,225
{txt}{hline 13}{c +}{hline 34}   F(7, 14217)     = {res}   869.16
{txt}       Model {c |} {res} 3500.82916         7  500.118451   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 8180.55334    14,217  .575406439   {txt}R-squared       ={res}    0.2997
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.2993
{txt}       Total {c |} {res} 11681.3825    14,224  .821244551   {txt}Root MSE        =   {res} .75856

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       Support{col 16}{c |} Coefficient{col 28}  Std. err.{col 40}      t{col 48}   P>|t|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}libtrump {c |}{col 16}{res}{space 2} .0896912{col 28}{space 2} .0156835{col 39}{space 1}    5.72{col 48}{space 3}0.000{col 56}{space 4} .0589496{col 69}{space 3} .1204329
{txt}{space 6}contrump {c |}{col 16}{res}{space 2}-.0668485{col 28}{space 2} .0155377{col 39}{space 1}   -4.30{col 48}{space 3}0.000{col 56}{space 4}-.0973044{col 69}{space 3}-.0363927
{txt}issue_salience {c |}{col 16}{res}{space 2}  .144639{col 28}{space 2} .0065855{col 39}{space 1}   21.96{col 48}{space 3}0.000{col 56}{space 4} .1317307{col 69}{space 3} .1575474
{txt}{space 5}knowledge {c |}{col 16}{res}{space 2}-.0008583{col 28}{space 2} .0029286{col 39}{space 1}   -0.29{col 48}{space 3}0.769{col 56}{space 4}-.0065987{col 69}{space 3} .0048821
{txt}party_strength {c |}{col 16}{res}{space 2} .0148851{col 28}{space 2} .0059436{col 39}{space 1}    2.50{col 48}{space 3}0.012{col 56}{space 4} .0032348{col 69}{space 3} .0265353
{txt}{space 3}trump_favor {c |}{col 16}{res}{space 2}-.2512649{col 28}{space 2} .0069417{col 39}{space 1}  -36.20{col 48}{space 3}0.000{col 56}{space 4}-.2648714{col 69}{space 3}-.2376583
{txt}{space 8}ideo5b {c |}{col 16}{res}{space 2} -.112236{col 28}{space 2} .0073192{col 39}{space 1}  -15.33{col 48}{space 3}0.000{col 56}{space 4}-.1265825{col 69}{space 3}-.0978894
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} .4798202{col 28}{space 2} .0425165{col 39}{space 1}   11.29{col 48}{space 3}0.000{col 56}{space 4} .3964823{col 69}{space 3} .5631581
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
{txt}end of do-file

{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}/Users/jp34/Desktop/barberpopetables_psrm.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}31 May 2023, 10:38:48
{txt}{.-}
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{txt}{sf}{ul off}